-------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\log\analysis.log
  log type:  text
 opened on:   2 Oct 2023, 17:09:19

. 
. cd "$temp"
\\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\temp

. 
. gl e eps // eps pdf

. use "$dat\main.dta", clear

. 
. *margin= (left right bottom top)
. 
. ************************
. **** Figure 1, A4, A5 **
. ************************
. 
. la var diff_vald_left_bef  "Left bloc politician"

. la var diff_vald_right_bef "Center-right bloc politician"

. la var diff_vald_left_vs  "Left bloc politician"

. la var diff_vald_right_vs "Center-right bloc politician"

. la var diff_vald_bef  "All politicians" 

. 
. foreach sample in all ab_med bel_med  {
  2. 
.         foreach pol in vald_bef vald_first_bef vald_left_bef  vald_right_bef vald_left_vs  vald_right_vs  {
  3. preserve
  4. local s=0
  5. matrix C =J(7,6,.)
  6. 
. foreach var  in  diff_highq_bef   diff_highed_bef  diff_em_bef diff_own_bef  {
  7. local s=`s'+1
  8. reg `var' diff_`pol' if `sample'==1 [aw= w_dist_count], cluster(llkk)
  9. sum `var'  if diff_`pol' !=. & `sample'==1 [aw= w_dist_count]
 10. local sdy=r(sd) 
 11. sum diff_`pol'   if `var'!=. & `sample'==1 [aw= w_dist_count]
 12. local sdx=r(sd) 
 13. 
.         matrix C[`s',1]=(_b[ diff_`pol'])*`sdx'/`sdy'
 14.         matrix C[`s',2]=(_b[ diff_`pol']+1.96*_se[ diff_`pol'])*`sdx'/`sdy'
 15.         matrix C[`s',3]=(_b[ diff_`pol']-1.96*_se[ diff_`pol'])*`sdx'/`sdy'
 16. 
. }
 17. 
. 
. svmat C
 18. sum C*
 19.  ren C1 est
 20.         ren C2 ci_low
 21.         ren C3 ci_high
 22. gen pos =5-_n
 23. 
. drop if _n>4
 24. tab pos
 25. 
. loc t    "`:var label diff_`pol'', size(large)" 
 26. 
. if "`sample'"=="all" & "`pol'"=="vald_first_bef" loc t  "Elected for the first time"
 27. if "`sample'"=="bel_med" & "`pol'"=="vald_bef" loc t "Municipalities below median size"
 28. if "`sample'"=="ab_med" & "`pol'"=="vald_bef" loc t "Municipalities above median size"
 29. 
. loc set ysize(15) xsize(20) graphregion(margin(l=0 r=0))
 30. loc y 4 "Top income quartile" 3 "Tertiary educated"  2 "Born in the West" 1 "Home owner" 
 31. 
. if ("`sample'"=="bel_med" & "`pol'"=="vald_bef") |  "`pol'"=="vald_left_bef" | "`pol'"=="vald_right_vs" {       
 32. loc y 4 " " 3 " " 2 " " 1 " "
 33. loc set ysize(15) xsize(20) graphregion(margin(l=25 r=10))
 34. }
 35. if ("`sample'"=="ab_med" & "`pol'"=="vald_bef") | "`pol'"=="vald_right_bef" {
 36. loc y 4 " " 3 " " 2 " " 1 " "
 37. loc set ysize(15) xsize(20) graphregion(margin(l=15 r =20))
 38. }
 39. 
. 
. twoway (scatter pos est , msize(medlarge)  msymbol(circle)   mcolor(black)) ///
> (rbar ci_low ci_high pos , lwidth(vvthin)  fcolor(gs1) lcolor(gs1) lpattern(solid) horizontal barwidth(.015)) ///
>         ,xline(0, lcolor(gs1) lpattern(dash))   xlabel(, grid) ytitle(, size(zero))  ///
>   scale(1) `set' scheme(s1mono) yscale(range(0.5 4.5))    leg(off) title(`t') ///
>         ylabel( `y' , labsize(medlarge) angle(horizontal)) 
 40. graph save      aff_`pol'_`sample', replace
 41. 
.         restore
 42.         
.         }
 43.         }
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      45.69
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0302
                                                Root MSE          =     .02736

                                  (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
diff_highq_~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
diff_vald_bef |   .0963639   .0142562     6.76   0.000     .0683044    .1244234
        _cons |   1.85e-19   1.93e-19     0.96   0.338    -1.95e-19    5.65e-19
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |  17,422         865    7.09e-20   .0277795  -.1671392   .1312745

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~d_bef |  17,422         865   -8.09e-19   .0500946  -.2505998   .2568118
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      19.52
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0391
                                                Root MSE          =     .02815

                                  (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
diff_highed~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
diff_vald_bef |   .1132672   .0256371     4.42   0.000     .0628073    .1637271
        _cons |   2.86e-20   2.19e-19     0.13   0.896    -4.03e-19    4.60e-19
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |  17,422         865   -7.40e-20   .0287127  -.1527732   .1531815

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~d_bef |  17,422         865   -8.09e-19   .0500946  -.2505998   .2568118
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      22.35
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0215
                                                Root MSE          =     .08178

                                  (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
  diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
diff_vald_bef |   .2417671   .0511421     4.73   0.000     .1411073    .3424268
        _cons |   1.54e-19   3.16e-19     0.49   0.626    -4.67e-19    7.75e-19
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |  17,422         865   -4.51e-21   .0826705  -.4806992   .2407213

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~d_bef |  17,422         865   -8.09e-19   .0500946  -.2505998   .2568118
(sum of wgt is 858.0324889471154)

Linear regression                               Number of obs     =     16,622
                                                F(1, 288)         =       7.38
                                                Prob > F          =     0.0070
                                                R-squared         =     0.0061
                                                Root MSE          =     .08302

                                  (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
 diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
diff_vald_bef |   .1294613   .0476471     2.72   0.007     .0356807    .2232419
        _cons |  -6.92e-07   1.52e-06    -0.46   0.649    -3.68e-06    2.30e-06
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |  16,622  858.032489   -3.47e-19    .083277  -.4775772   .4155739

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~d_bef |  16,622  858.032489    5.35e-06   .0502679  -.2505998   .2568118

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .1490085    .0516518   .0781458   .1976157
          C2 |          4    .2128004    .0620272   .1345171    .285284
          C3 |          4    .0852166    .0450688   .0217746   .1233845
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_bef_all.gph saved
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      18.14
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0091
                                                Root MSE          =     .02765

                                        (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
     diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_first_bef |   .0323688   .0075998     4.26   0.000     .0174105    .0473271
              _cons |   1.31e-19   1.90e-19     0.69   0.491    -2.43e-19    5.05e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |  17,422         865    7.09e-20   .0277795  -.1671392   .1312745

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~st_bef |  17,422         865   -9.79e-19   .0820127  -.2959808   .5213345
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      15.79
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0258
                                                Root MSE          =     .02834

                                        (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
    diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_first_bef |   .0561801   .0141403     3.97   0.000     .0283487    .0840115
              _cons |  -2.07e-20   2.27e-19    -0.09   0.927    -4.68e-19    4.27e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |  17,422         865   -7.40e-20   .0287127  -.1527732   .1531815

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~st_bef |  17,422         865   -9.79e-19   .0820127  -.2959808   .5213345
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =       6.15
                                                Prob > F          =     0.0137
                                                R-squared         =     0.0049
                                                Root MSE          =     .08247

                                        (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
        diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_first_bef |   .0706733    .028498     2.48   0.014     .0145825    .1267641
              _cons |   9.79e-21   2.82e-19     0.03   0.972    -5.46e-19    5.65e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |  17,422         865   -4.51e-21   .0826705  -.4806992   .2407213

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~st_bef |  17,422         865   -9.79e-19   .0820127  -.2959808   .5213345
(sum of wgt is 858.0324889471154)

Linear regression                               Number of obs     =     16,622
                                                F(1, 288)         =       2.17
                                                Prob > F          =     0.1415
                                                R-squared         =     0.0012
                                                Root MSE          =     .08323

                                        (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
       diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_first_bef |   .0350153   .0237484     1.47   0.141    -.0117272    .0817578
              _cons |   6.30e-07   6.71e-07     0.94   0.348    -6.90e-07    1.95e-06
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |  16,622  858.032489   -3.47e-19    .083277  -.4775772   .4155739

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~st_bef |  16,622  858.032489    -.000018    .082295  -.2959808   .5213345

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .0901858     .053107   .0346024   .1604685
          C2 |          4     .146323    .0670934   .0806005   .2396313
          C3 |          4    .0340486    .0407445  -.0113957   .0813057
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_first_bef_all.gph saved
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =       1.31
                                                Prob > F          =     0.2531
                                                R-squared         =     0.0020
                                                Root MSE          =     .02775

                                       (Std. err. adjusted for 289 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
    diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_left_bef |     .01647   .0143839     1.15   0.253     -.011841    .0447809
             _cons |   1.24e-19   2.03e-19     0.61   0.542    -2.76e-19    5.24e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |  17,422         865    7.09e-20   .0277795  -.1671392   .1312745

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ft_bef |  17,422         865   -1.16e-18    .075182  -.2833676    .549653
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =       3.67
                                                Prob > F          =     0.0563
                                                R-squared         =     0.0101
                                                Root MSE          =     .02857

                                       (Std. err. adjusted for 289 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
   diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_left_bef |    .038382   .0200299     1.92   0.056    -.0010415    .0778055
             _cons |  -2.23e-20   2.55e-19    -0.09   0.930    -5.24e-19    4.79e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |  17,422         865   -7.40e-20   .0287127  -.1527732   .1531815

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ft_bef |  17,422         865   -1.16e-18    .075182  -.2833676    .549653
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      13.09
                                                Prob > F          =     0.0004
                                                R-squared         =     0.0128
                                                Root MSE          =     .08214

                                       (Std. err. adjusted for 289 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
       diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_left_bef |  -.1244855   .0344097    -3.62   0.000    -.1922118   -.0567592
             _cons |  -1.84e-19   3.03e-19    -0.61   0.543    -7.80e-19    4.11e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |  17,422         865   -4.51e-21   .0826705  -.4806992   .2407213

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ft_bef |  17,422         865   -1.16e-18    .075182  -.2833676    .549653
(sum of wgt is 858.0324889471154)

Linear regression                               Number of obs     =     16,622
                                                F(1, 288)         =       4.43
                                                Prob > F          =     0.0362
                                                R-squared         =     0.0035
                                                Root MSE          =     .08313

                                       (Std. err. adjusted for 289 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
      diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_left_bef |   .0651565    .030963     2.10   0.036     .0042141     .126099
             _cons |  -1.83e-07   8.97e-07    -0.20   0.839    -1.95e-06    1.58e-06
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |  16,622  858.032489   -3.47e-19    .083277  -.4775772   .4155739

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ft_bef |  16,622  858.032489    2.80e-06   .0754494  -.2833676    .549653

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .0227243     .093671  -.1132094   .1005004
          C2 |          4    .0965774    .1069603  -.0518755    .203296
          C3 |          4   -.0511288    .0837395  -.1745432    .004049
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_left_bef_all.gph saved
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      26.36
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0457
                                                Root MSE          =     .02714

                                        (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
     diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_right_bef |   .0701508    .013664     5.13   0.000     .0432569    .0970447
              _cons |   2.06e-19   1.89e-19     1.09   0.278    -1.66e-19    5.77e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |  17,422         865    7.09e-20   .0277795  -.1671392   .1312745

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ht_bef |  17,422         865   -1.30e-18   .0846852  -.4517747   .5107832
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =       8.87
                                                Prob > F          =     0.0031
                                                R-squared         =     0.0349
                                                Root MSE          =     .02821

                                        (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
    diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_right_bef |   .0633746   .0212803     2.98   0.003       .02149    .1052593
              _cons |   2.53e-20   2.33e-19     0.11   0.913    -4.33e-19    4.84e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |  17,422         865   -7.40e-20   .0287127  -.1527732   .1531815

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ht_bef |  17,422         865   -1.30e-18   .0846852  -.4517747   .5107832
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      76.69
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0710
                                                Root MSE          =     .07968

                                        (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
        diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_right_bef |   .2601099   .0297019     8.76   0.000     .2016495    .3185703
              _cons |   3.25e-19   3.31e-19     0.98   0.327    -3.27e-19    9.76e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |  17,422         865   -4.51e-21   .0826705  -.4806992   .2407213

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ht_bef |  17,422         865   -1.30e-18   .0846852  -.4517747   .5107832
(sum of wgt is 858.0324889471154)

Linear regression                               Number of obs     =     16,622
                                                F(1, 288)         =       5.41
                                                Prob > F          =     0.0207
                                                R-squared         =     0.0046
                                                Root MSE          =     .08309

                                        (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
       diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_right_bef |    .066585   .0286207     2.33   0.021     .0102526    .1229173
              _cons |  -1.84e-06   1.35e-06    -1.36   0.175    -4.50e-06    8.23e-07
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |  16,622  858.032489   -3.47e-19    .083277  -.4775772   .4155739

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ht_bef |  16,622  858.032489    .0000276   .0849947  -.4517747   .5107832

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .1837943    .0839901   .0679584   .2664488
          C2 |          4    .2641814    .0934849   .1252121   .3260833
          C3 |          4    .1034072    .0850045   .0107047   .2068143
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_right_bef_all.gph saved
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      10.37
                                                Prob > F          =     0.0014
                                                R-squared         =     0.0104
                                                Root MSE          =     .02764

                                      (Std. err. adjusted for 289 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
   diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_left_vs |   .0395425   .0122802     3.22   0.001     .0153722    .0637129
            _cons |   1.51e-19   2.01e-19     0.75   0.453    -2.45e-19    5.47e-19
-----------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |  17,422         865    7.09e-20   .0277795  -.1671392   .1312745

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ft_vs |  17,422         865   -1.23e-18   .0714735  -.2636894   .5490261
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      12.28
                                                Prob > F          =     0.0005
                                                R-squared         =     0.0280
                                                Root MSE          =     .02831

                                      (Std. err. adjusted for 289 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
  diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_left_vs |   .0671926   .0191736     3.50   0.001     .0294544    .1049308
            _cons |   1.24e-20   2.45e-19     0.05   0.960    -4.69e-19    4.94e-19
-----------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |  17,422         865   -7.40e-20   .0287127  -.1527732   .1531815

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ft_vs |  17,422         865   -1.23e-18   .0714735  -.2636894   .5490261
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =       0.00
                                                Prob > F          =     0.9672
                                                R-squared         =     0.0000
                                                Root MSE          =     .08267

                                      (Std. err. adjusted for 289 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
      diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_left_vs |   .0016169   .0392435     0.04   0.967    -.0756235    .0788573
            _cons |  -4.40e-20   2.58e-19    -0.17   0.865    -5.52e-19    4.64e-19
-----------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |  17,422         865   -4.51e-21   .0826705  -.4806992   .2407213

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ft_vs |  17,422         865   -1.23e-18   .0714735  -.2636894   .5490261
(sum of wgt is 858.0324889471154)

Linear regression                               Number of obs     =     16,622
                                                F(1, 288)         =       3.96
                                                Prob > F          =     0.0474
                                                R-squared         =     0.0032
                                                Root MSE          =     .08314

                                      (Std. err. adjusted for 289 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
     diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_left_vs |   .0661764   .0332376     1.99   0.047      .000757    .1315958
            _cons |  -4.00e-07   8.63e-07    -0.46   0.643    -2.10e-06    1.30e-06
-----------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |  16,622  858.032489   -3.47e-19    .083277  -.4775772   .4155739

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ft_vs |  16,622  858.032489    6.05e-06   .0717256  -.2636894   .5490261

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .0818484    .0701918   .0013979   .1672603
          C2 |          4    .1513693     .082784   .0678974   .2608077
          C3 |          4    .0123275    .0595808  -.0651016   .0737128
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_left_vs_all.gph saved
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =       3.64
                                                Prob > F          =     0.0573
                                                R-squared         =     0.0039
                                                Root MSE          =     .02773

                                       (Std. err. adjusted for 289 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
    diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_right_vs |   .0232648   .0121896     1.91   0.057    -.0007271    .0472567
             _cons |   1.38e-19   2.01e-19     0.69   0.492    -2.58e-19    5.34e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |  17,422         865    7.09e-20   .0277795  -.1671392   .1312745

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ht_vs |  17,422         865   -1.36e-18   .0749479  -.3298539   .4707872
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =       1.15
                                                Prob > F          =     0.2847
                                                R-squared         =     0.0035
                                                Root MSE          =     .02866

                                       (Std. err. adjusted for 289 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
   diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_right_vs |   .0227779   .0212526     1.07   0.285    -.0190522     .064608
             _cons |  -3.30e-20   2.38e-19    -0.14   0.890    -5.01e-19    4.35e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |  17,422         865   -7.40e-20   .0287127  -.1527732   .1531815

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ht_vs |  17,422         865   -1.36e-18   .0749479  -.3298539   .4707872
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      12.00
                                                Prob > F          =     0.0006
                                                R-squared         =     0.0123
                                                Root MSE          =     .08216

                                       (Std. err. adjusted for 289 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
       diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_right_vs |   .1224635   .0353563     3.46   0.001     .0528739    .1920531
             _cons |   1.26e-19   3.10e-19     0.41   0.684    -4.85e-19    7.37e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |  17,422         865   -4.51e-21   .0826705  -.4806992   .2407213

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ht_vs |  17,422         865   -1.36e-18   .0749479  -.3298539   .4707872
(sum of wgt is 858.0324889471154)

Linear regression                               Number of obs     =     16,622
                                                F(1, 288)         =       0.15
                                                Prob > F          =     0.6983
                                                R-squared         =     0.0001
                                                Root MSE          =     .08327

                                       (Std. err. adjusted for 289 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
      diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_right_vs |   .0124668   .0321309     0.39   0.698    -.0507744     .075708
             _cons |  -9.68e-08   3.20e-07    -0.30   0.762    -7.26e-07    5.32e-07
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |  16,622  858.032489   -3.47e-19    .083277  -.4775772   .4155739

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ht_vs |  16,622  858.032489    7.76e-06   .0752187  -.3298539   .4707872

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4     .061127    .0407506   .0112605   .1110237
          C2 |          4    .1343513    .0487826   .0681432   .1738487
          C3 |          4   -.0120973    .0456434  -.0492746   .0481987
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_right_vs_all.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =     150.62
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0471
                                                Root MSE          =     .01781

                                  (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
diff_highq_~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
diff_vald_bef |   .1200324   .0097805    12.27   0.000     .1007039     .139361
        _cons |   9.85e-20   7.34e-20     1.34   0.182    -4.65e-20    2.44e-19
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |  14,320         435    5.45e-20   .0182486  -.0972948   .1064728

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~d_bef |  14,320         435   -5.42e-19   .0330016  -.1134256   .1667604
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      78.96
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0392
                                                Root MSE          =     .01651

                                  (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
diff_highed~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
diff_vald_bef |   .1010595   .0113731     8.89   0.000     .0785837    .1235353
        _cons |  -6.70e-21   8.48e-20    -0.08   0.937    -1.74e-19    1.61e-19
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |  14,320         435   -5.36e-20   .0168428  -.0711983   .1077578

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~d_bef |  14,320         435   -5.42e-19   .0330016  -.1134256   .1667604
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      66.41
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0258
                                                Root MSE          =     .05344

                                  (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
  diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
diff_vald_bef |   .2634634   .0323304     8.15   0.000      .199571    .3273558
        _cons |   4.09e-20   2.51e-19     0.16   0.871    -4.55e-19    5.37e-19
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |  14,320         435   -1.26e-19   .0541374  -.4291608   .1142063

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~d_bef |  14,320         435   -5.42e-19   .0330016  -.1134256   .1667604
(sum of wgt is 428.5658222804488)

Linear regression                               Number of obs     =     13,527
                                                F(1, 147)         =      12.43
                                                Prob > F          =     0.0006
                                                R-squared         =     0.0058
                                                Root MSE          =     .05973

                                  (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
 diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
diff_vald_bef |   .1373372   .0389484     3.53   0.001     .0603662    .2143083
        _cons |   1.84e-07   2.88e-06     0.06   0.949    -5.51e-06    5.88e-06
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |  13,527  428.565822   -7.43e-20   .0598969  -.4417717   .2196671

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~d_bef |  13,527  428.565822   -1.34e-06   .0331685  -.1134256   .1667604

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .1629356    .0624913   .0760518   .2170717
          C2 |          4    .2027472    .0607078   .1183252   .2517391
          C3 |          4    .1231241    .0644783   .0337785   .1824042
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_bef_ab_med.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      30.16
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0067
                                                Root MSE          =     .01819

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
     diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_first_bef |   .0283007   .0051532     5.49   0.000     .0181168    .0384846
              _cons |   6.23e-20   8.86e-20     0.70   0.483    -1.13e-19    2.37e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |  14,320         435    5.45e-20   .0182486  -.0972948   .1064728

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~st_bef |  14,320         435   -7.37e-19   .0528881   -.145127    .363316
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      19.95
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0075
                                                Root MSE          =     .01678

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
    diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_first_bef |   .0276156   .0061824     4.47   0.000     .0153977    .0398334
              _cons |  -3.42e-20   8.56e-20    -0.40   0.690    -2.03e-19    1.35e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |  14,320         435   -5.36e-20   .0168428  -.0711983   .1077578

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~st_bef |  14,320         435   -7.37e-19   .0528881   -.145127    .363316
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      12.07
                                                Prob > F          =     0.0007
                                                R-squared         =     0.0038
                                                Root MSE          =     .05404

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
        diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_first_bef |   .0631072   .0181658     3.47   0.001     .0272074    .0990071
              _cons |  -3.78e-20   2.56e-19    -0.15   0.883    -5.43e-19    4.67e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |  14,320         435   -1.26e-19   .0541374  -.4291608   .1142063

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~st_bef |  14,320         435   -7.37e-19   .0528881   -.145127    .363316
(sum of wgt is 428.5658222804488)

Linear regression                               Number of obs     =     13,527
                                                F(1, 147)         =       0.27
                                                Prob > F          =     0.6014
                                                R-squared         =     0.0001
                                                Root MSE          =      .0599

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
       diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_first_bef |   .0117404   .0224236     0.52   0.601     -.032574    .0560547
              _cons |   3.35e-07   7.08e-07     0.47   0.637    -1.06e-06    1.74e-06
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |  13,527  428.565822   -7.43e-20   .0598969  -.4417717   .2196671

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~st_bef |  13,527  428.565822   -.0000286   .0531604   -.145127    .363316

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .0602019    .0349256   .0104199   .0867156
          C2 |          4    .0954802      .03281   .0494272   .1247658
          C3 |          4    .0249235    .0374393  -.0285874   .0527484
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_first_bef_ab_med.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =       6.13
                                                Prob > F          =     0.0145
                                                R-squared         =     0.0026
                                                Root MSE          =     .01823

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
    diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_left_bef |   .0186244    .007525     2.48   0.014     .0037533    .0334955
             _cons |   5.34e-20   8.03e-20     0.67   0.507    -1.05e-19    2.12e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |  14,320         435    5.45e-20   .0182486  -.0972948   .1064728

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ft_bef |  14,320         435   -7.37e-19   .0495934  -.1568266    .549653
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =       2.24
                                                Prob > F          =     0.1367
                                                R-squared         =     0.0016
                                                Root MSE          =     .01683

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
   diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_left_bef |   .0136893   .0091477     1.50   0.137    -.0043886    .0317673
             _cons |  -4.61e-20   8.59e-20    -0.54   0.593    -2.16e-19    1.24e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |  14,320         435   -5.36e-20   .0168428  -.0711983   .1077578

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ft_bef |  14,320         435   -7.37e-19   .0495934  -.1568266    .549653
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =       0.00
                                                Prob > F          =     0.9951
                                                R-squared         =     0.0000
                                                Root MSE          =     .05414

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
       diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_left_bef |   -.000162   .0262463    -0.01   0.995    -.0520308    .0517068
             _cons |  -8.67e-20   2.35e-19    -0.37   0.713    -5.52e-19    3.78e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |  14,320         435   -1.26e-19   .0541374  -.4291608   .1142063

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ft_bef |  14,320         435   -7.37e-19   .0495934  -.1568266    .549653
(sum of wgt is 428.5658222804488)

Linear regression                               Number of obs     =     13,527
                                                F(1, 147)         =       2.57
                                                Prob > F          =     0.1109
                                                R-squared         =     0.0016
                                                Root MSE          =     .05985

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
      diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_left_bef |   .0485332   .0302569     1.60   0.111    -.0112614    .1083278
             _cons |   4.38e-07   1.25e-06     0.35   0.727    -2.03e-06    2.91e-06
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |  13,527  428.565822   -7.43e-20   .0598969  -.4417717   .2196671

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ft_bef |  13,527  428.565822   -9.03e-06   .0498625  -.1568266    .549653

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .0327942     .022488  -.0001484   .0506146
          C2 |          4    .0801365    .0221511   .0469766   .0931012
          C3 |          4    -.014548    .0240512  -.0472733   .0105321
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_left_bef_ab_med.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      94.24
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0531
                                                Root MSE          =     .01776

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
     diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_right_bef |   .0812329    .008368     9.71   0.000     .0646958    .0977701
              _cons |   9.26e-20   7.67e-20     1.21   0.229    -5.89e-20    2.44e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |  14,320         435    5.45e-20   .0182486  -.0972948   .1064728

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ht_bef |  14,320         435   -6.56e-19    .051743  -.1412957   .3808894
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      61.06
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0431
                                                Root MSE          =     .01648

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
    diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_right_bef |   .0675555   .0086455     7.81   0.000       .05047    .0846411
              _cons |  -1.22e-20   7.93e-20    -0.15   0.878    -1.69e-19    1.45e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |  14,320         435   -5.36e-20   .0168428  -.0711983   .1077578

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ht_bef |  14,320         435   -6.56e-19    .051743  -.1412957   .3808894
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      80.90
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0346
                                                Root MSE          =     .05319

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
        diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_right_bef |   .1945572   .0216308     8.99   0.000     .1518096    .2373048
              _cons |   3.84e-20   2.44e-19     0.16   0.875    -4.45e-19    5.21e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |  14,320         435   -1.26e-19   .0541374  -.4291608   .1142063

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ht_bef |  14,320         435   -6.56e-19    .051743  -.1412957   .3808894
(sum of wgt is 428.5658222804488)

Linear regression                               Number of obs     =     13,527
                                                F(1, 147)         =       7.05
                                                Prob > F          =     0.0088
                                                R-squared         =     0.0041
                                                Root MSE          =     .05977

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
       diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_right_bef |   .0741032   .0279115     2.65   0.009     .0189436    .1292627
              _cons |  -2.65e-06   2.52e-06    -1.05   0.295    -7.64e-06    2.33e-06
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |  13,527  428.565822   -7.43e-20   .0598969  -.4417717   .2196671

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ht_bef |  13,527  428.565822    .0000358   .0520263  -.1412957   .3808894

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4     .172047     .074039   .0643658   .2303316
          C2 |          4    .2186975    .0742125   .1118837   .2768366
          C3 |          4    .1253965    .0741694    .016848   .1838265
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_right_bef_ab_med.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      41.10
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0143
                                                Root MSE          =     .01812

                                      (Std. err. adjusted for 148 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
   diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_left_vs |   .0449919   .0070179     6.41   0.000     .0311228    .0588609
            _cons |   7.39e-20   8.33e-20     0.89   0.376    -9.06e-20    2.38e-19
-----------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |  14,320         435    5.45e-20   .0182486  -.0972948   .1064728

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ft_vs |  14,320         435   -7.20e-19   .0485047  -.1434149   .5490261
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      27.05
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0125
                                                Root MSE          =     .01674

                                      (Std. err. adjusted for 148 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
  diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_left_vs |   .0388248   .0074645     5.20   0.000     .0240732    .0535763
            _cons |  -2.67e-20   7.93e-20    -0.34   0.737    -1.83e-19    1.30e-19
-----------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |  14,320         435   -5.36e-20   .0168428  -.0711983   .1077578

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ft_vs |  14,320         435   -7.20e-19   .0485047  -.1434149   .5490261
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      12.24
                                                Prob > F          =     0.0006
                                                R-squared         =     0.0058
                                                Root MSE          =     .05398

                                      (Std. err. adjusted for 148 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
      diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_left_vs |   .0852425   .0243637     3.50   0.001      .037094    .1333909
            _cons |  -2.31e-20   2.59e-19    -0.09   0.929    -5.35e-19    4.89e-19
-----------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |  14,320         435   -1.26e-19   .0541374  -.4291608   .1142063

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ft_vs |  14,320         435   -7.20e-19   .0485047  -.1434149   .5490261
(sum of wgt is 428.5658222804488)

Linear regression                               Number of obs     =     13,527
                                                F(1, 147)         =       7.08
                                                Prob > F          =     0.0087
                                                R-squared         =     0.0042
                                                Root MSE          =     .05977

                                      (Std. err. adjusted for 148 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
     diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_left_vs |   .0791258   .0297326     2.66   0.009     .0203672    .1378843
            _cons |  -3.85e-07   1.93e-06    -0.20   0.842    -4.20e-06    3.43e-06
-----------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |  13,527  428.565822   -7.43e-20   .0598969  -.4417717   .2196671

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ft_vs |  13,527  428.565822    4.87e-06   .0487654  -.1434149   .5490261

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4     .093048    .0267951   .0644206   .1195882
          C2 |          4    .1352791    .0230358   .1118663   .1561493
          C3 |          4    .0508169    .0307422    .016975   .0830272
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_left_vs_ab_med.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      10.39
                                                Prob > F          =     0.0016
                                                R-squared         =     0.0041
                                                Root MSE          =     .01821

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
    diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_right_vs |   .0244328   .0075795     3.22   0.002      .009454    .0394117
             _cons |   5.63e-20   8.19e-20     0.69   0.492    -1.05e-19    2.18e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |  14,320         435    5.45e-20   .0182486  -.0972948   .1064728

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ht_vs |  14,320         435   -6.05e-19     .04777  -.1502611   .3839096
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      14.14
                                                Prob > F          =     0.0002
                                                R-squared         =     0.0077
                                                Root MSE          =     .01678

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
   diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_right_vs |   .0309207   .0082225     3.76   0.000     .0146712    .0471703
             _cons |  -3.54e-20   8.89e-20    -0.40   0.691    -2.11e-19    1.40e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |  14,320         435   -5.36e-20   .0168428  -.0711983   .1077578

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ht_vs |  14,320         435   -6.05e-19     .04777  -.1502611   .3839096
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =       2.58
                                                Prob > F          =     0.1104
                                                R-squared         =     0.0009
                                                Root MSE          =     .05411

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
       diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_right_vs |   .0339218   .0211185     1.61   0.110    -.0078133    .0756569
             _cons |  -6.45e-20   2.52e-19    -0.26   0.798    -5.62e-19    4.33e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |  14,320         435   -1.26e-19   .0541374  -.4291608   .1142063

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ht_vs |  14,320         435   -6.05e-19     .04777  -.1502611   .3839096
(sum of wgt is 428.5658222804488)

Linear regression                               Number of obs     =     13,527
                                                F(1, 147)         =       0.56
                                                Prob > F          =     0.4565
                                                R-squared         =     0.0003
                                                Root MSE          =     .05989

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
      diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_right_vs |  -.0210562   .0282041    -0.75   0.457    -.0767942    .0346818
             _cons |  -6.72e-08   6.22e-07    -0.11   0.914    -1.30e-06    1.16e-06
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |  13,527  428.565822   -7.43e-20   .0598969  -.4417717   .2196671

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ht_vs |  13,527  428.565822   -3.19e-06   .0480297  -.1502611   .3839096

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .0411761    .0453901  -.0168844   .0876982
          C2 |          4    .0825384    .0458046   .0274432    .133407
          C3 |          4   -.0001861     .045394   -.061212   .0419893
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_right_vs_ab_med.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =      25.13
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0262
                                                Root MSE          =     .03422

                                  (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
diff_highq_~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
diff_vald_bef |   .0897561   .0179042     5.01   0.000     .0543732     .125139
        _cons |   2.77e-19   3.68e-19     0.75   0.453    -4.51e-19    1.00e-18
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |   3,107         435    8.66e-20   .0346676  -.1671392   .1312745

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~d_bef |   3,107         435   -1.07e-18   .0624663  -.2505998   .2568118
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =      12.82
                                                Prob > F          =     0.0005
                                                R-squared         =     0.0392
                                                Root MSE          =      .0361

                                  (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
diff_highed~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
diff_vald_bef |   .1166753   .0325831     3.58   0.000     .0522835    .1810672
        _cons |   3.35e-20   4.77e-19     0.07   0.944    -9.08e-19    9.75e-19
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |   3,107         435   -9.36e-20   .0368245  -.1527732   .1531815

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~d_bef |   3,107         435   -1.07e-18   .0624663  -.2505998   .2568118
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =      13.25
                                                Prob > F          =     0.0004
                                                R-squared         =     0.0203
                                                Root MSE          =     .10222

                                  (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
  diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
diff_vald_bef |   .2357099   .0647449     3.64   0.000     .1077588    .3636609
        _cons |   1.18e-19   5.73e-19     0.21   0.837    -1.01e-18    1.25e-18
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |   3,107         435    1.18e-19   .1032582  -.4806992   .2407213

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~d_bef |   3,107         435   -1.07e-18   .0624663  -.2505998   .2568118
(sum of wgt is 434.4666666666666)

Linear regression                               Number of obs     =      3,100
                                                F(1, 147)         =       4.51
                                                Prob > F          =     0.0354
                                                R-squared         =     0.0062
                                                Root MSE          =      .1005

                                  (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
 diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
diff_vald_bef |   .1272727   .0599288     2.12   0.035     .0088395    .2457059
        _cons |  -1.51e-06   1.43e-06    -1.06   0.292    -4.34e-06    1.31e-06
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |   3,100  434.466667   -6.12e-19   .1007964  -.4775772   .4155739

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~d_bef |   3,100  434.466667    .0000119   .0624993  -.2505998   .2568118

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .1452892    .0498426    .078916   .1979194
          C2 |          4    .2255802    .0632407   .1517479   .3062516
          C3 |          4    .0649982    .0416266   .0060842   .0984969
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_bef_bel_med.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =      12.32
                                                Prob > F          =     0.0006
                                                R-squared         =     0.0098
                                                Root MSE          =      .0345

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
     diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_first_bef |   .0334445   .0095287     3.51   0.001     .0146135    .0522755
              _cons |   2.03e-19   3.85e-19     0.53   0.598    -5.58e-19    9.64e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |   3,107         435    8.66e-20   .0346676  -.1671392   .1312745

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~st_bef |   3,107         435   -1.21e-18   .1028618  -.2959808   .5213345
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =      12.97
                                                Prob > F          =     0.0004
                                                R-squared         =     0.0317
                                                Root MSE          =     .03624

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
    diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_first_bef |   .0637335    .017696     3.60   0.000     .0287621    .0987049
              _cons |  -4.12e-20   4.65e-19    -0.09   0.929    -9.59e-19    8.77e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |   3,107         435   -9.36e-20   .0368245  -.1527732   .1531815

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~st_bef |   3,107         435   -1.21e-18   .1028618  -.2959808   .5213345
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =       4.12
                                                Prob > F          =     0.0443
                                                R-squared         =     0.0052
                                                Root MSE          =       .103

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
        diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_first_bef |    .072674   .0358217     2.03   0.044      .001882     .143466
              _cons |  -9.01e-20   5.71e-19    -0.16   0.875    -1.22e-18    1.04e-18
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |   3,107         435    1.18e-19   .1032582  -.4806992   .2407213

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~st_bef |   3,107         435   -1.21e-18   .1028618  -.2959808   .5213345
(sum of wgt is 434.4666666666666)

Linear regression                               Number of obs     =      3,100
                                                F(1, 147)         =       1.95
                                                Prob > F          =     0.1649
                                                R-squared         =     0.0018
                                                Root MSE          =     .10072

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
       diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_first_bef |   .0411435    .029479     1.40   0.165     -.017114    .0994009
              _cons |   3.03e-07   7.26e-07     0.42   0.677    -1.13e-06    1.74e-06
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |   3,100  434.466667   -6.12e-19   .1007964  -.4775772   .4155739

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~st_bef |   3,100  434.466667   -7.38e-06   .1029086  -.2959808   .5213345

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4     .097915    .0583002   .0420056   .1780267
          C2 |          4    .1682219    .0747353   .1009953   .2749098
          C3 |          4    .0276081    .0437798   -.016984   .0811437
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_first_bef_bel_med.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =       0.75
                                                Prob > F          =     0.3875
                                                R-squared         =     0.0018
                                                Root MSE          =     .03464

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
    diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_left_bef |   .0158665    .018305     0.87   0.387    -.0203084    .0520413
             _cons |   1.95e-19   3.93e-19     0.50   0.621    -5.82e-19    9.72e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |   3,107         435    8.66e-20   .0346676  -.1671392   .1312745

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ft_bef |   3,107         435   -1.56e-18   .0937153  -.2833676   .3917094
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =       3.16
                                                Prob > F          =     0.0776
                                                R-squared         =     0.0133
                                                Root MSE          =     .03658

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
   diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_left_bef |   .0452988   .0254874     1.78   0.078    -.0050703    .0956678
             _cons |  -3.22e-20   4.84e-19    -0.07   0.947    -9.88e-19    9.24e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |   3,107         435   -9.36e-20   .0368245  -.1527732   .1531815

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ft_bef |   3,107         435   -1.56e-18   .0937153  -.2833676   .3917094
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =      14.23
                                                Prob > F          =     0.0002
                                                R-squared         =     0.0209
                                                Root MSE          =     .10219

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
       diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_left_bef |  -.1593104   .0422356    -3.77   0.000    -.2427778   -.0758431
             _cons |  -4.25e-19   5.33e-19    -0.80   0.427    -1.48e-18    6.29e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |   3,107         435    1.18e-19   .1032582  -.4806992   .2407213

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ft_bef |   3,107         435   -1.56e-18   .0937153  -.2833676   .3917094
(sum of wgt is 434.4666666666666)

Linear regression                               Number of obs     =      3,100
                                                F(1, 147)         =       3.28
                                                Prob > F          =     0.0721
                                                R-squared         =     0.0042
                                                Root MSE          =      .1006

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
      diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_left_bef |   .0697946   .0385311     1.81   0.072    -.0063518     .145941
             _cons |  -1.01e-06   9.74e-07    -1.04   0.302    -2.93e-06    9.16e-07
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |   3,100  434.466667   -6.12e-19   .1007964  -.4775772   .4155739

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ft_bef |   3,100  434.466667    .0000144    .093767  -.2833676   .3917094

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .0196282     .113592  -.1445872   .1152817
          C2 |          4    .1120042    .1307014  -.0694561   .2424138
          C3 |          4   -.0727478    .1003366  -.2197183   -.005327
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_left_bef_bel_med.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =      16.38
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0440
                                                Root MSE          =      .0339

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
     diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_right_bef |   .0675894   .0166986     4.05   0.000      .034589    .1005898
              _cons |   3.10e-19   3.73e-19     0.83   0.407    -4.27e-19    1.05e-18
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |   3,107         435    8.66e-20   .0346676  -.1671392   .1312745

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ht_bef |   3,107         435   -1.92e-18   .1076406  -.4517747   .5107832
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =       5.69
                                                Prob > F          =     0.0183
                                                R-squared         =     0.0333
                                                Root MSE          =     .03621

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
    diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_right_bef |   .0624083   .0261568     2.39   0.018     .0107163    .1141002
              _cons |   2.41e-20   4.33e-19     0.06   0.956    -8.31e-19    8.79e-19
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |   3,107         435   -9.36e-20   .0368245  -.1527732   .1531815

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ht_bef |   3,107         435   -1.92e-18   .1076406  -.4517747   .5107832
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =      58.08
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0823
                                                Root MSE          =     .09893

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
        diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_right_bef |   .2752612   .0361188     7.62   0.000      .203882    .3466404
              _cons |   4.11e-19   5.64e-19     0.73   0.467    -7.03e-19    1.52e-18
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |   3,107         435    1.18e-19   .1032582  -.4806992   .2407213

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ht_bef |   3,107         435   -1.92e-18   .1076406  -.4517747   .5107832
(sum of wgt is 434.4666666666666)

Linear regression                               Number of obs     =      3,100
                                                F(1, 147)         =       3.51
                                                Prob > F          =     0.0630
                                                R-squared         =     0.0048
                                                Root MSE          =     .10057

                                        (Std. err. adjusted for 148 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
       diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
diff_vald_right_bef |   .0648541   .0346146     1.87   0.063    -.0035525    .1332607
              _cons |  -1.25e-06   1.03e-06    -1.21   0.227    -3.28e-06    7.84e-07
-------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |   3,100  434.466667   -6.12e-19   .1007964  -.4775772   .4155739

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_~ht_bef |   3,100  434.466667    .0000193   .1077035  -.4517747   .5107832

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .1871314    .0901589   .0692982   .2869434
          C2 |          4    .2865743    .0986107    .141792   .3607407
          C3 |          4    .0876885    .0956736  -.0031955   .2131461
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_right_bef_bel_med.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =       5.74
                                                Prob > F          =     0.0178
                                                R-squared         =     0.0093
                                                Root MSE          =     .03451

                                      (Std. err. adjusted for 148 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
   diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_left_vs |      .0379   .0158132     2.40   0.018     .0066494    .0691507
            _cons |   2.33e-19   4.07e-19     0.57   0.568    -5.72e-19    1.04e-18
-----------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |   3,107         435    8.66e-20   .0346676  -.1671392   .1312745

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ft_vs |   3,107         435   -1.73e-18   .0883606  -.2636894   .3784878
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =       9.42
                                                Prob > F          =     0.0026
                                                R-squared         =     0.0330
                                                Root MSE          =     .03622

                                      (Std. err. adjusted for 148 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
  diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_left_vs |    .075743   .0246784     3.07   0.003     .0269726    .1245133
            _cons |   2.14e-20   4.55e-19     0.05   0.962    -8.77e-19    9.20e-19
-----------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |   3,107         435   -9.36e-20   .0368245  -.1527732   .1531815

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ft_vs |   3,107         435   -1.73e-18   .0883606  -.2636894   .3784878
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =       0.22
                                                Prob > F          =     0.6368
                                                R-squared         =     0.0004
                                                Root MSE          =     .10325

                                      (Std. err. adjusted for 148 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
      diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_left_vs |  -.0235888   .0498566    -0.47   0.637    -.1221172    .0749395
            _cons |  -2.04e-19   5.87e-19    -0.35   0.728    -1.36e-18    9.55e-19
-----------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |   3,107         435    1.18e-19   .1032582  -.4806992   .2407213

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ft_vs |   3,107         435   -1.73e-18   .0883606  -.2636894   .3784878
(sum of wgt is 434.4666666666666)

Linear regression                               Number of obs     =      3,100
                                                F(1, 147)         =       2.17
                                                Prob > F          =     0.1430
                                                R-squared         =     0.0030
                                                Root MSE          =     .10066

                                      (Std. err. adjusted for 148 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
     diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_left_vs |   .0622892   .0423034     1.47   0.143    -.0213123    .1458906
            _cons |  -4.45e-07   5.40e-07    -0.82   0.411    -1.51e-06    6.22e-07
-----------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |   3,100  434.466667   -6.12e-19   .1007964  -.4775772   .4155739

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ft_vs |   3,100  434.466667    7.14e-06   .0884102  -.2636894   .3784878

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .0781986    .0842522  -.0201855   .1817458
          C2 |          4    .1660504    .0991268    .063435   .2978093
          C3 |          4   -.0096531    .0715408  -.1038061   .0656823
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_left_vs_bel_med.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =       2.28
                                                Prob > F          =     0.1332
                                                R-squared         =     0.0039
                                                Root MSE          =     .03461

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
    diff_highq_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_right_vs |   .0229649   .0152076     1.51   0.133    -.0070889    .0530187
             _cons |   2.14e-19   3.79e-19     0.56   0.574    -5.36e-19    9.63e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highq~f |   3,107         435    8.66e-20   .0346676  -.1671392   .1312745

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ht_vs |   3,107         435   -2.11e-18    .094288  -.3298539   .4707872
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =       0.60
                                                Prob > F          =     0.4383
                                                R-squared         =     0.0028
                                                Root MSE          =     .03678

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
   diff_highed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_right_vs |   .0206872    .026621     0.78   0.438     -.031922    .0732965
             _cons |  -6.63e-20   4.37e-19    -0.15   0.880    -9.31e-19    7.98e-19
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_highe~f |   3,107         435   -9.36e-20   .0368245  -.1527732   .1531815

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ht_vs |   3,107         435   -2.11e-18    .094288  -.3298539   .4707872
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =      11.09
                                                Prob > F          =     0.0011
                                                R-squared         =     0.0176
                                                Root MSE          =     .10236

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
       diff_em_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_right_vs |   .1451964   .0436013     3.33   0.001     .0590301    .2313627
             _cons |   1.16e-19   5.31e-19     0.22   0.827    -9.33e-19    1.17e-18
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 diff_em_bef |   3,107         435    1.18e-19   .1032582  -.4806992   .2407213

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ht_vs |   3,107         435   -2.11e-18    .094288  -.3298539   .4707872
(sum of wgt is 434.4666666666666)

Linear regression                               Number of obs     =      3,100
                                                F(1, 147)         =       0.28
                                                Prob > F          =     0.5969
                                                R-squared         =     0.0004
                                                Root MSE          =     .10079

                                       (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------------
                   |               Robust
      diff_own_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------+----------------------------------------------------------------
diff_vald_right_vs |   .0210394   .0396984     0.53   0.597    -.0574138    .0994927
             _cons |  -3.89e-07   7.81e-07    -0.50   0.619    -1.93e-06    1.15e-06
------------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_own_bef |   3,100  434.466667   -6.12e-19   .1007964  -.4775772   .4155739

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff_v~ht_vs |   3,100  434.466667    .0000185    .094343  -.3298539   .4707872

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .0669259    .0474573   .0196924   .1325829
          C2 |          4    .1583078    .0519019   .0925195   .2106174
          C3 |          4    -.024456    .0584629  -.0806289   .0545483
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_right_vs_bel_med.gph saved

.         
. loc spec col(3) iscale(1.5) scheme(s1mono)              b1("Estimated relationship with residential concentation of politicians (be
> ta coefficients)", size(huge)) xcommon

. 
.         * figure 1              
.         graph combine aff_vald_bef_all.gph aff_vald_left_bef_all.gph aff_vald_right_bef_all.gph, `spec' ysize(4) xsize(20)

. graph export "$res\fig1.$e",  replace   
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\fig1.eps saved as EPS format

.         
.         *figure A4
. graph combine  aff_vald_left_vs_all.gph aff_vald_right_vs_all.gph, `spec' ///
>                  ysize(6) xsize(20)     

. graph export "$res\figA4.$e",  replace  
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA4.eps saved as EPS format

. 
.         *figure A5
.                 graph combine  aff_vald_first_bef_all.gph aff_vald_bef_bel_med.gph aff_vald_bef_ab_med.gph, `spec' ysize(4) xsize(2
> 0) 

. graph export "$res\figA5.$e",  replace
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA5.eps saved as EPS format

. 
. 
. 
. ************************
. ***   Figur 2, A7    ***
. ************************
. 
.         foreach sample in all ab_med bel_med  {
  2.         foreach ref in bef altbef  {
  3. preserve
  4. local s=0
  5. matrix C =J(8,6,.)
  6. 
.         foreach p in  m c k f  g s v{
  7. local s=`s'+1
  8. reg  diff_votes_`p'_`ref'  diff_vald_`p'_bef if `sample'==1 [aw= w_dist_count], cluster(llkk)
  9. sum  diff_votes_`p'_`ref'  if diff_vald_`p'_bef!=. & `sample'==1 [aw= w_dist_count]
 10. local sdy=r(sd) 
 11. sum diff_vald_`p'_bef  if diff_votes_`p'_`ref'!=. & `sample'==1 [aw= w_dist_count]
 12. local sdx=r(sd) 
 13.         matrix C[`s',1]=(_b[ diff_vald_`p'_bef ])*`sdx'/`sdy'
 14.         matrix C[`s',2]=(_b[diff_vald_`p'_bef ]+1.96*_se[diff_vald_`p'_bef ])*`sdx'/`sdy'
 15.         matrix C[`s',3]=(_b[diff_vald_`p'_bef ]-1.96*_se[ diff_vald_`p'_bef ])*`sdx'/`sdy'
 16. 
.         }
 17. 
. svmat C
 18. sum C*
 19.  ren C1 est
 20.         ren C2 ci_low
 21.         ren C3 ci_high
 22. 
. gen pos =_n
 23. 
. drop if _n>7
 24. tab pos
 25. 
. 
. loc y  1 "Conservative Party"  2 "Center Party" 3 "Christian Democrats" 4 "Liberal Party"  5 "Green Party"  ///
>          6 "Social Democrats" 7 "Left Party" 
 26. if "`sample'"=="all" & "`ref'"=="bef" loc set ysize(15) xsize(20) graphregion(margin(l=0 r=7)) 
 27. else loc set ysize(15) xsize(20) graphregion(margin(l=0 r=0)) 
 28. loc xset xscale(range(0 0.7))   xlabel(0(0.1)0.7, grid)
 29. loc t ""
 30. if "`ref'"=="altbef" loc t "Alternative reference group"
 31. if "`sample'"== "bel_med"        {
 32. loc t   "Municipalities below median size"
 33. loc y 1 " " 2 " " 3 " " 4 " " 5 " " 6 " " 7 " "  
 34. loc set ysize(15) xsize(20) graphregion(margin(l=25 r=10))      
 35. }
 36. if "`sample'"== "ab_med"        {
 37. loc t   "Municipalities above median size"
 38. loc y 1 " " 2 " " 3 " " 4 " " 5 " " 6 " " 7 " " 
 39. loc set ysize(15) xsize(20) graphregion(margin(l=15 r=20))      
 40. }
 41. if "`sample'"=="all" & "`ref'"=="bef" loc x xtitle("Estimated relationship with residential concentation" "of each party's voter
> s and politicians (beta coefficients)", size(medlarge))
 42. else loc x " "
 43. twoway (scatter pos est , msize(medlarge)  msymbol(circle)   mcolor(black)) ///
> (rbar ci_low ci_high pos , lwidth(vvthin)  fcolor(gs1) lcolor(gs1) lpattern(solid) horizontal barwidth(.015)) ///
>         ,xline(0, lcolor(gs1) lpattern(dash))  ytitle(, size(zero))  ///
>   scale(1) `set' `xset' scheme(s1mono) yscale(range(0.5 7.5))   legend(off) ///
>         ylabel( `y', labsize(medium) angle(horizontal)) title(`t') `x'
 44. graph save      polvotes_`ref'_`sample', replace
 45. 
.         restore
 46.         
.         }
 47.         }
(sum of wgt is 851)

Linear regression                               Number of obs     =     17,378
                                                F(1, 286)         =      88.94
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1349
                                                Root MSE          =     .03232

                                    (Std. err. adjusted for 287 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~m_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_m_bef |   .0890958   .0094473     9.43   0.000     .0705008    .1076908
          _cons |   1.63e-19   2.05e-19     0.80   0.427    -2.41e-19    5.67e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_m_bef |  17,378         851    8.62e-20   .0347473  -.1898356   .2699493

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_m_bef |  17,378         851   -1.41e-18   .1432587  -.6129563   .9203187
(sum of wgt is 833)

Linear regression                               Number of obs     =     15,200
                                                F(1, 285)         =     162.09
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2987
                                                Root MSE          =     .05726

                                    (Std. err. adjusted for 286 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~c_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_c_bef |   .2221668     .01745    12.73   0.000     .1878196     .256514
          _cons |   3.37e-19   2.46e-19     1.37   0.172    -1.48e-19    8.21e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_c_bef |  15,200         833    1.13e-19   .0683717  -.4161935   .5330321

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_c_bef |  15,200         833   -1.60e-18    .168209  -.5517747   .9978232
(sum of wgt is 798)

Linear regression                               Number of obs     =     16,750
                                                F(1, 279)         =      96.55
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1497
                                                Root MSE          =     .03731

                                    (Std. err. adjusted for 280 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~k_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_k_bef |   .0746999   .0076023     9.83   0.000     .0597348     .089665
          _cons |  -1.02e-19   1.74e-19    -0.59   0.557    -4.44e-19    2.40e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_k_bef |  16,750         798   -1.52e-19   .0404551  -.2456891   .6212109

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_k_bef |  16,750         798   -7.62e-19   .2095483  -.5517747   .9975388
(sum of wgt is 828)

Linear regression                               Number of obs     =     17,181
                                                F(1, 284)         =      76.34
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1066
                                                Root MSE          =     .04042

                                    (Std. err. adjusted for 285 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~f_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_f_bef |   .0696544   .0079722     8.74   0.000     .0539623    .0853465
          _cons |  -2.98e-19   2.57e-19    -1.16   0.247    -8.03e-19    2.07e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_f_bef |  17,181         828   -3.25e-19   .0427654  -.2021629   .3590323

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_f_bef |  17,181         828   -1.25e-18   .2004724  -.6129563   .9623997
(sum of wgt is 707)

Linear regression                               Number of obs     =     16,071
                                                F(1, 263)         =      71.37
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1058
                                                Root MSE          =     .03579

                                    (Std. err. adjusted for 264 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~g_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_g_bef |   .0512985   .0060723     8.45   0.000     .0393419    .0632551
          _cons |   1.50e-20   1.84e-19     0.08   0.935    -3.48e-19    3.78e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_g_bef |  16,071         707   -6.95e-20   .0378422  -.2312914   .2820487

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_g_bef |  16,071         707   -4.82e-19    .239977  -.5517747   .9901751
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      65.03
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0876
                                                Root MSE          =     .03866

                                    (Std. err. adjusted for 289 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vot~_s_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_s_bef |     .14336   .0177776     8.06   0.000     .1083695    .1783504
          _cons |   1.87e-19   2.00e-19     0.94   0.350    -2.06e-19    5.80e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_s_bef |  17,422         865    2.51e-20   .0404694  -.2142426   .2677064

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_s_bef |  17,422         865   -1.10e-18   .0835436  -.2833676   .6163197
(sum of wgt is 791)

Linear regression                               Number of obs     =     16,694
                                                F(1, 278)         =      44.44
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0431
                                                Root MSE          =     .03364

                                    (Std. err. adjusted for 279 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~v_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_v_bef |    .033631    .005045     6.67   0.000     .0236998    .0435623
          _cons |  -3.64e-19   2.34e-19    -1.56   0.121    -8.24e-19    9.67e-20
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_v_bef |  16,694         791   -4.28e-19   .0343889  -.2080452   .2796876

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_v_bef |  16,694         791   -8.54e-19   .2122863  -.5290989   .9860452

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          7    .3508891    .1038104   .2076079    .546578
          C2 |          7    .4250838    .1104018    .268649   .6307222
          C3 |          7    .2766944    .0972747   .1465669   .4624339
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,420 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       14.29       14.29
          2 |          1       14.29       28.57
          3 |          1       14.29       42.86
          4 |          1       14.29       57.14
          5 |          1       14.29       71.43
          6 |          1       14.29       85.71
          7 |          1       14.29      100.00
------------+-----------------------------------
      Total |          7      100.00
file polvotes_bef_all.gph saved
(sum of wgt is 851)

Linear regression                               Number of obs     =     17,378
                                                F(1, 286)         =      95.90
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1386
                                                Root MSE          =     .03126

                                    (Std. err. adjusted for 287 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~m_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_m_bef |   .0875096   .0089359     9.79   0.000     .0699211     .105098
          _cons |   6.07e-20   1.90e-19     0.32   0.749    -3.12e-19    4.34e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~m_altbef |  17,378         851   -1.23e-20   .0336769  -.1878631   .2403542

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_m_bef |  17,378         851   -1.41e-18   .1432587  -.6129563   .9203187
(sum of wgt is 833)

Linear regression                               Number of obs     =     15,200
                                                F(1, 285)         =     155.44
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3007
                                                Root MSE          =     .05393

                                    (Std. err. adjusted for 286 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~c_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_c_bef |   .2102383   .0168631    12.47   0.000     .1770463    .2434303
          _cons |   3.38e-19   2.14e-19     1.58   0.115    -8.30e-20    7.59e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~c_altbef |  15,200         833    8.13e-20   .0644898  -.4045844     .52573

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_c_bef |  15,200         833   -1.60e-18    .168209  -.5517747   .9978232
(sum of wgt is 798)

Linear regression                               Number of obs     =     16,750
                                                F(1, 279)         =      96.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1508
                                                Root MSE          =     .03718

                                    (Std. err. adjusted for 280 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~k_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_k_bef |   .0747783   .0076002     9.84   0.000     .0598172    .0897394
          _cons |  -6.01e-20   1.78e-19    -0.34   0.736    -4.11e-19    2.90e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~k_altbef |  16,750         798   -8.69e-20   .0403484  -.2625888   .6107536

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_k_bef |  16,750         798   -7.62e-19   .2095483  -.5517747   .9975388
(sum of wgt is 828)

Linear regression                               Number of obs     =     17,181
                                                F(1, 284)         =      84.20
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1079
                                                Root MSE          =     .04019

                                    (Std. err. adjusted for 285 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~f_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_f_bef |   .0697156   .0075977     9.18   0.000     .0547607    .0846706
          _cons |  -2.55e-19   2.14e-19    -1.19   0.234    -6.76e-19    1.66e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~f_altbef |  17,181         828   -3.38e-19   .0425538  -.2031008   .3471411

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_f_bef |  17,181         828   -1.25e-18   .2004724  -.6129563   .9623997
(sum of wgt is 707)

Linear regression                               Number of obs     =     16,071
                                                F(1, 263)         =      74.86
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1100
                                                Root MSE          =     .03518

                                    (Std. err. adjusted for 264 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~g_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_g_bef |    .051527   .0059552     8.65   0.000     .0398011     .063253
          _cons |   2.13e-20   1.84e-19     0.12   0.908    -3.41e-19    3.84e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~g_altbef |  16,071         707   -1.44e-21   .0372901   -.215396   .2943396

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_g_bef |  16,071         707   -4.82e-19    .239977  -.5517747   .9901751
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      68.12
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0880
                                                Root MSE          =     .03153

                                    (Std. err. adjusted for 289 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~s_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_s_bef |   .1171937   .0141994     8.25   0.000      .089246    .1451414
          _cons |   3.51e-20   2.08e-19     0.17   0.866    -3.74e-19    4.44e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~s_altbef |  17,422         865   -1.09e-19   .0330115  -.1540089   .2253187

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_s_bef |  17,422         865   -1.10e-18   .0835436  -.2833676   .6163197
(sum of wgt is 791)

Linear regression                               Number of obs     =     16,694
                                                F(1, 278)         =      41.21
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0441
                                                Root MSE          =     .03256

                                    (Std. err. adjusted for 279 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~v_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_v_bef |   .0329399   .0051313     6.42   0.000     .0228388    .0430411
          _cons |  -1.91e-19   1.99e-19    -0.96   0.339    -5.83e-19    2.01e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~v_altbef |  16,694         791   -2.13e-19   .0333063   -.210252    .280076

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_v_bef |  16,694         791   -8.54e-19   .2122863  -.5290989   .9860452

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          7    .3536501    .1036764    .209951   .5483652
          C2 |          7    .4276334    .1104409   .2740543   .6345739
          C3 |          7    .2796668     .096934   .1458478   .4621565
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,420 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       14.29       14.29
          2 |          1       14.29       28.57
          3 |          1       14.29       42.86
          4 |          1       14.29       57.14
          5 |          1       14.29       71.43
          6 |          1       14.29       85.71
          7 |          1       14.29      100.00
------------+-----------------------------------
      Total |          7      100.00
file polvotes_altbef_all.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =     189.16
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1237
                                                Root MSE          =     .01687

                                    (Std. err. adjusted for 148 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~m_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_m_bef |   .0802765   .0058368    13.75   0.000     .0687417    .0918113
          _cons |   4.75e-20   8.83e-20     0.54   0.592    -1.27e-19    2.22e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_m_bef |  14,320         435   -2.46e-20   .0180196   -.092864   .1223075

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_m_bef |  14,320         435   -7.93e-19   .0789606  -.1717271   .6230563
(sum of wgt is 410)

Linear regression                               Number of obs     =     12,152
                                                F(1, 145)         =     192.88
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2035
                                                Root MSE          =     .03231

                                    (Std. err. adjusted for 146 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~c_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_c_bef |   .1370177   .0098659    13.89   0.000     .1175182    .1565172
          _cons |   8.66e-20   1.85e-19     0.47   0.641    -2.79e-19    4.52e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_c_bef |  12,152         410    5.80e-20   .0362036  -.1105014   .1994985

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_c_bef |  12,152         410   -6.65e-19   .1192038  -.1717271   .9978232
(sum of wgt is 424)

Linear regression                               Number of obs     =     13,967
                                                F(1, 146)         =      55.53
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0890
                                                Root MSE          =     .01813

                                    (Std. err. adjusted for 147 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~k_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_k_bef |   .0383111   .0051411     7.45   0.000     .0281505    .0484717
          _cons |   1.48e-20   9.28e-20     0.16   0.873    -1.69e-19    1.98e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_k_bef |  13,967         424   -2.12e-21   .0189985  -.0768904   .3189975

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_k_bef |  13,967         424   -5.98e-19   .1479396   -.169111   .9975388
(sum of wgt is 432)

Linear regression                               Number of obs     =     14,271
                                                F(1, 147)         =      88.76
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0810
                                                Root MSE          =     .01973

                                    (Std. err. adjusted for 148 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~f_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_f_bef |   .0459203   .0048741     9.42   0.000     .0362878    .0555527
          _cons |  -8.79e-20   9.60e-20    -0.92   0.361    -2.78e-19    1.02e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_f_bef |  14,271         432   -1.26e-19   .0205793  -.0941711   .3590323

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_f_bef |  14,271         432   -6.43e-19   .1275714   -.169111   .9473481
(sum of wgt is 416)

Linear regression                               Number of obs     =     13,876
                                                F(1, 147)         =      73.10
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0461
                                                Root MSE          =     .01844

                                    (Std. err. adjusted for 148 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~g_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_g_bef |   .0244863   .0028639     8.55   0.000     .0188265     .030146
          _cons |  -3.03e-20   8.87e-20    -0.34   0.733    -2.06e-19    1.45e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_g_bef |  13,876         416   -6.27e-20   .0188825  -.1048852   .1605873

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_g_bef |  13,876         416   -2.12e-19   .1655485  -.1717271   .9901751
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      40.27
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0236
                                                Root MSE          =     .01969

                                    (Std. err. adjusted for 148 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vot~_s_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_s_bef |   .0535711   .0084421     6.35   0.000     .0368875    .0702546
          _cons |  -1.90e-20   1.16e-19    -0.16   0.870    -2.48e-19    2.10e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_s_bef |  14,320         435   -4.02e-20   .0199231   -.083321   .1267237

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_s_bef |  14,320         435   -4.84e-19   .0571094  -.1568266   .6163197
(sum of wgt is 413)

Linear regression                               Number of obs     =     13,930
                                                F(1, 144)         =      78.31
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0552
                                                Root MSE          =      .0176

                                    (Std. err. adjusted for 145 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~v_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_v_bef |   .0290344    .003281     8.85   0.000     .0225492    .0355196
          _cons |  -7.59e-20   8.87e-20    -0.86   0.394    -2.51e-19    9.94e-20
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_v_bef |  13,930         413   -8.94e-20   .0181098  -.0818977   .1223715

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_v_bef |  13,930         413   -4.74e-19   .1465289  -.1717271   .9860452

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          7    .2841511    .0974364   .1535614   .4511434
          C2 |          7    .3413171    .1030183   .2009919   .5148126
          C3 |          7     .226985    .0928419   .1061308   .3874743
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,420 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       14.29       14.29
          2 |          1       14.29       28.57
          3 |          1       14.29       42.86
          4 |          1       14.29       57.14
          5 |          1       14.29       71.43
          6 |          1       14.29       85.71
          7 |          1       14.29      100.00
------------+-----------------------------------
      Total |          7      100.00
file polvotes_bef_ab_med.gph saved
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =     202.74
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1252
                                                Root MSE          =     .01676

                                    (Std. err. adjusted for 148 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~m_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_m_bef |   .0802929   .0056391    14.24   0.000     .0691488    .0914371
          _cons |   1.27e-19   8.30e-20     1.53   0.129    -3.72e-20    2.91e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~m_altbef |  14,320         435    5.89e-20   .0179194  -.0954935   .1203932

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_m_bef |  14,320         435   -7.93e-19   .0789606  -.1717271   .6230563
(sum of wgt is 410)

Linear regression                               Number of obs     =     12,152
                                                F(1, 145)         =     196.10
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2026
                                                Root MSE          =     .03106

                                    (Std. err. adjusted for 146 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~c_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_c_bef |   .1313392    .009379    14.00   0.000      .112802    .1498763
          _cons |   9.95e-20   1.66e-19     0.60   0.550    -2.29e-19    4.28e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~c_altbef |  12,152         410    6.18e-20   .0347819  -.1021311   .1978692

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_c_bef |  12,152         410   -6.65e-19   .1192038  -.1717271   .9978232
(sum of wgt is 424)

Linear regression                               Number of obs     =     13,967
                                                F(1, 146)         =      59.15
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0860
                                                Root MSE          =     .01814

                                    (Std. err. adjusted for 147 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~k_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_k_bef |   .0376177    .004891     7.69   0.000     .0279513    .0472841
          _cons |  -3.27e-20   9.89e-20    -0.33   0.741    -2.28e-19    1.63e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~k_altbef |  13,967         424   -4.60e-20   .0189733  -.0754461   .2941747

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_k_bef |  13,967         424   -5.98e-19   .1479396   -.169111   .9975388
(sum of wgt is 432)

Linear regression                               Number of obs     =     14,271
                                                F(1, 147)         =      96.62
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0807
                                                Root MSE          =     .02016

                                    (Std. err. adjusted for 148 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~f_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_f_bef |   .0468336   .0047647     9.83   0.000     .0374175    .0562497
          _cons |  -1.63e-20   9.68e-20    -0.17   0.866    -2.08e-19    1.75e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~f_altbef |  14,271         432   -5.30e-20   .0210279  -.0949219   .3471411

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_f_bef |  14,271         432   -6.43e-19   .1275714   -.169111   .9473481
(sum of wgt is 416)

Linear regression                               Number of obs     =     13,876
                                                F(1, 147)         =      73.66
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0470
                                                Root MSE          =     .01831

                                    (Std. err. adjusted for 148 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~g_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_g_bef |   .0245722    .002863     8.58   0.000     .0189141    .0302302
          _cons |  -4.91e-20   8.11e-20    -0.61   0.546    -2.09e-19    1.11e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~g_altbef |  13,876         416   -5.51e-20   .0187557  -.1029821   .1421236

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_g_bef |  13,876         416   -2.12e-19   .1655485  -.1717271   .9901751
(sum of wgt is 435)

Linear regression                               Number of obs     =     14,320
                                                F(1, 147)         =      46.78
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0271
                                                Root MSE          =     .01605

                                    (Std. err. adjusted for 148 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~s_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_s_bef |   .0469221   .0068607     6.84   0.000     .0333637    .0604804
          _cons |   4.09e-20   9.21e-20     0.44   0.658    -1.41e-19    2.23e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~s_altbef |  14,320         435    5.63e-21    .016273  -.0654615   .1000255

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_s_bef |  14,320         435   -4.84e-19   .0571094  -.1568266   .6163197
(sum of wgt is 413)

Linear regression                               Number of obs     =     13,930
                                                F(1, 144)         =      84.20
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0579
                                                Root MSE          =     .01661

                                    (Std. err. adjusted for 145 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~v_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_v_bef |   .0280923   .0030615     9.18   0.000     .0220411    .0341435
          _cons |  -1.05e-19   8.90e-20    -1.18   0.239    -2.81e-19    7.06e-20
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~v_altbef |  13,930         413   -1.09e-19   .0171136  -.0868268   .1029342

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_v_bef |  13,930         413   -4.74e-19   .1465289  -.1717271   .9860452

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          7    .2862085    .0941234   .1646711   .4501233
          C2 |          7    .3420952    .0989806   .2118626   .5131245
          C3 |          7    .2303219    .0901088   .1174796   .3871221
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,420 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       14.29       14.29
          2 |          1       14.29       28.57
          3 |          1       14.29       42.86
          4 |          1       14.29       57.14
          5 |          1       14.29       71.43
          6 |          1       14.29       85.71
          7 |          1       14.29      100.00
------------+-----------------------------------
      Total |          7      100.00
file polvotes_altbef_ab_med.gph saved
(sum of wgt is 419)

Linear regression                               Number of obs     =      3,061
                                                F(1, 145)         =      65.54
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1370
                                                Root MSE          =     .04274

                                    (Std. err. adjusted for 146 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~m_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_m_bef |   .0907171   .0112058     8.10   0.000     .0685692    .1128649
          _cons |   3.16e-19   4.25e-19     0.74   0.459    -5.25e-19    1.16e-18
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_m_bef |   3,061         419    2.01e-19   .0459965  -.1898356   .2699493

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_m_bef |   3,061         419   -2.05e-18   .1876688  -.6129563   .9203187
(sum of wgt is 428)

Linear regression                               Number of obs     =      3,053
                                                F(1, 146)         =     124.81
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3307
                                                Root MSE          =     .07247

                                    (Std. err. adjusted for 147 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~c_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_c_bef |   .2501246   .0223891    11.17   0.000     .2058759    .2943732
          _cons |   8.00e-19   4.76e-19     1.68   0.095    -1.42e-19    1.74e-18
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_c_bef |   3,053         428    1.65e-19     .08857  -.4161935   .5330321

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_c_bef |   3,053         428   -2.47e-18   .2036349  -.5517747   .9718237
(sum of wgt is 377)

Linear regression                               Number of obs     =      2,786
                                                F(1, 138)         =      77.84
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1723
                                                Root MSE          =     .05033

                                    (Std. err. adjusted for 139 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~k_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_k_bef |   .0878079   .0099526     8.82   0.000     .0681287    .1074871
          _cons |  -2.17e-19   3.91e-19    -0.56   0.580    -9.89e-19    5.55e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_k_bef |   2,786         377   -3.19e-19   .0553102  -.2456891   .6212109

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_k_bef |   2,786         377   -9.40e-19    .261442  -.5517747   .9518032
(sum of wgt is 401)

Linear regression                               Number of obs     =      2,915
                                                F(1, 143)         =      57.13
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1139
                                                Root MSE          =     .05426

                                    (Std. err. adjusted for 144 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~f_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_f_bef |    .076012   .0100567     7.56   0.000     .0561329    .0958911
          _cons |  -5.15e-19   5.31e-19    -0.97   0.334    -1.56e-18    5.35e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_f_bef |   2,915         401   -5.35e-19   .0576285  -.2021629   .3424322

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_f_bef |   2,915         401   -1.89e-18   .2558719  -.6129563   .9623997
(sum of wgt is 293)

Linear regression                               Number of obs     =      2,197
                                                F(1, 122)         =      57.34
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1293
                                                Root MSE          =      .0507

                                    (Std. err. adjusted for 123 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~g_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_g_bef |   .0617263   .0081515     7.57   0.000     .0455897    .0778629
          _cons |   1.11e-19   4.29e-19     0.26   0.796    -7.38e-19    9.60e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_g_bef |   2,197         293   -7.86e-20   .0543175  -.2312914   .2820487

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_g_bef |   2,197         293   -8.63e-19   .3163682  -.5517747    .973216
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =      60.17
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1085
                                                Root MSE          =     .05051

                                    (Std. err. adjusted for 148 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vot~_s_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_s_bef |   .1709412   .0220375     7.76   0.000     .1273899    .2144925
          _cons |   3.37e-19   3.69e-19     0.91   0.362    -3.92e-19    1.07e-18
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_s_bef |   3,107         435    9.02e-20   .0534842  -.2142426   .2677064

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_s_bef |   3,107         435   -1.70e-18   .1030545  -.2833676   .4869444
(sum of wgt is 383)

Linear regression                               Number of obs     =      2,769
                                                F(1, 140)         =      27.86
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0414
                                                Root MSE          =     .04476

                                    (Std. err. adjusted for 141 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_vote~v_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_v_bef |   .0351531   .0066603     5.28   0.000     .0219854    .0483208
          _cons |  -6.95e-19   4.18e-19    -1.66   0.099    -1.52e-18    1.32e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~s_v_bef |   2,769         383   -7.87e-19   .0457096  -.2080452   .2796876

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_v_bef |   2,769         383   -1.25e-18   .2644643  -.5290989    .975019

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          7    .3700044    .1115503   .2033871   .5750713
          C2 |          7    .4588671    .1191516    .278915   .6759637
          C3 |          7    .2811417    .1040112   .1278591   .4741789
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,420 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       14.29       14.29
          2 |          1       14.29       28.57
          3 |          1       14.29       42.86
          4 |          1       14.29       57.14
          5 |          1       14.29       71.43
          6 |          1       14.29       85.71
          7 |          1       14.29      100.00
------------+-----------------------------------
      Total |          7      100.00
file polvotes_bef_bel_med.gph saved
(sum of wgt is 419)

Linear regression                               Number of obs     =      3,061
                                                F(1, 145)         =      70.46
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1410
                                                Root MSE          =     .04115

                                    (Std. err. adjusted for 146 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~m_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_m_bef |   .0888362    .010583     8.39   0.000     .0679194    .1097531
          _cons |   8.16e-20   3.42e-19     0.24   0.812    -5.95e-19    7.58e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~m_altbef |   3,061         419   -8.61e-20   .0443918  -.1878631   .2403542

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_m_bef |   3,061         419   -2.05e-18   .1876688  -.6129563   .9203187
(sum of wgt is 428)

Linear regression                               Number of obs     =      3,053
                                                F(1, 146)         =     119.30
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3333
                                                Root MSE          =     .06802

                                    (Std. err. adjusted for 147 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~c_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_c_bef |   .2361439   .0216199    10.92   0.000     .1934155    .2788724
          _cons |   3.98e-19   4.22e-19     0.94   0.347    -4.35e-19    1.23e-18
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~c_altbef |   3,053         428    9.91e-20   .0832905  -.4045844     .52573

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_c_bef |   3,053         428   -2.47e-18   .2036349  -.5517747   .9718237
(sum of wgt is 377)

Linear regression                               Number of obs     =      2,786
                                                F(1, 138)         =      78.84
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1747
                                                Root MSE          =     .05012

                                    (Std. err. adjusted for 139 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~k_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_k_bef |   .0881643    .009929     8.88   0.000     .0685316    .1077969
          _cons |  -1.89e-20   3.99e-19    -0.05   0.962    -8.08e-19    7.70e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~k_altbef |   2,786         377   -1.32e-19   .0551546  -.2625888   .6107536

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_k_bef |   2,786         377   -9.40e-19    .261442  -.5517747   .9518032
(sum of wgt is 401)

Linear regression                               Number of obs     =      2,915
                                                F(1, 143)         =      62.78
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1154
                                                Root MSE          =     .05374

                                    (Std. err. adjusted for 144 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~f_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_f_bef |    .075845   .0095726     7.92   0.000     .0569229     .094767
          _cons |  -5.51e-19   4.37e-19    -1.26   0.209    -1.41e-18    3.12e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~f_altbef |   2,915         401   -6.40e-19   .0571283  -.2031008   .3154862

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_f_bef |   2,915         401   -1.89e-18   .2558719  -.6129563   .9623997
(sum of wgt is 293)

Linear regression                               Number of obs     =      2,197
                                                F(1, 122)         =      60.41
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1347
                                                Root MSE          =     .04973

                                    (Std. err. adjusted for 123 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~g_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_g_bef |   .0620102   .0079781     7.77   0.000     .0462167    .0778038
          _cons |   2.86e-20   3.86e-19     0.07   0.941    -7.36e-19    7.94e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~g_altbef |   2,197         293    7.47e-20   .0534512   -.215396   .2943396

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_g_bef |   2,197         293   -8.63e-19   .3163682  -.5517747    .973216
(sum of wgt is 435)

Linear regression                               Number of obs     =      3,107
                                                F(1, 147)         =      61.50
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1075
                                                Root MSE          =     .04122

                                    (Std. err. adjusted for 148 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~s_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_s_bef |   .1387797   .0176965     7.84   0.000     .1038072    .1737521
          _cons |   1.26e-19   4.20e-19     0.30   0.765    -7.05e-19    9.57e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~s_altbef |   3,107         435   -2.23e-19   .0436199  -.1540089   .2253187

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_s_bef |   3,107         435   -1.70e-18   .1030545  -.2833676   .4869444
(sum of wgt is 383)

Linear regression                               Number of obs     =      2,769
                                                F(1, 140)         =      25.93
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0422
                                                Root MSE          =     .04351

                                    (Std. err. adjusted for 141 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_v~v_altbef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
diff_vald_v_bef |   .0345451   .0067834     5.09   0.000     .0211339    .0479563
          _cons |  -2.69e-19   4.18e-19    -0.64   0.520    -1.10e-18    5.57e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
dif~v_altbef |   2,769         383   -3.22e-19   .0444502   -.210252    .280076

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
diff~d_v_bef |   2,769         383   -1.25e-18   .2644643  -.5290989    .975019

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          7    .3729932    .1118076   .2055324   .5773423
          C2 |          7    .4617329    .1196575   .2846364    .680944
          C3 |          7    .2842536    .1040222   .1264284   .4737406
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,420 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       14.29       14.29
          2 |          1       14.29       28.57
          3 |          1       14.29       42.86
          4 |          1       14.29       57.14
          5 |          1       14.29       71.43
          6 |          1       14.29       85.71
          7 |          1       14.29      100.00
------------+-----------------------------------
      Total |          7      100.00
file polvotes_altbef_bel_med.gph saved

. 
. 
.         
. *       Figure 2
. graph   use "polvotes_bef_all.gph" 

. graph export "$res\fig2.$e",  replace
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\fig2.eps saved as EPS format

.         
. 
. loc spec col(3) iscale(1.5) scheme(s1mono)              b1("Estimated relationship with residential concentation of each party's vo
> ters and politicians (beta coefficients)", size(huge))

. * Figure A7             
.         graph combine polvotes_altbef_all.gph polvotes_bef_bel_med.gph polvotes_bef_ab_med.gph, `spec' ysize(4) xsize(20) 

. graph export "$res\figA7.$e", replace
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA7.eps saved as EPS format

. 
.         
. 
. **************************************  
. ***  Figures 3 and Figures A9.2   ***
. **************************************
. *define control variables 
. 
. gl pop_cont diff_highq_bef diff_highed_bef diff_own_bef diff_em_bef  diff_retired_bef diff_child_7_15_bef

. gl turnout_cont diff_voters_bef

. gl ecgeo_cont diff_b_area_multi diff_b_area_single  pop_dens_mdiff floorarea_pc_mdiff 

. 
. 
. loc treat   diff_maj_min 

. foreach var  in  area_multi  area_single    {
  2.         foreach sample in all close  cl_bl   ab_med bel_med ab_med_c bel_med_c ab_med_cl_bl bel_med_cl_bl  {
  3.  display "`var'" "`sample'"
  4.         preserve
  5.         local s=0
  6.         matrix C =J(1,3,.)
  7.         local s=`s'+1
  8.         reg diff_`var'_bef `treat'   [pw=w_dist_count ] if `sample' ==1 ,cluster(llkk)
  9.         matrix C[1,1]=_b[ `treat']
 10.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 11.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 12. 
.         svmat C
 13.         ren C1 est_`s'
 14.         ren C2 ci_low_`s'
 15.         ren C3 ci_high_`s'
 16.         gen pos_`s'=6 if est_`s'!=.
 17.         
.         *****
.         matrix C =J(1,3,.)
 18.         local s=`s'+1
 19.         reg diff_`var'_bef `treat'  $pop_cont [pw=w_dist_count ] if `sample' ==1 ,  cluster(llkk)
 20.         matrix C[1,1]=_b[ `treat']
 21.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 22.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 23. 
.         svmat C
 24.         ren C1 est_`s'
 25.         ren C2 ci_low_`s'
 26.         ren C3 ci_high_`s'
 27.         gen pos_`s'=5 if est_`s'!=.
 28.         
.         
.                 *****
.         matrix C =J(1,3,.)
 29.         local s=`s'+1
 30.         reg diff_`var'_bef `treat'   $turnout_cont [pw=w_dist_count ] if `sample' ==1 ,  cluster(llkk)
 31.         matrix C[1,1]=_b[ `treat']
 32.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 33.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 34. 
.         svmat C
 35.         ren C1 est_`s'
 36.         ren C2 ci_low_`s'
 37.         ren C3 ci_high_`s'
 38.         gen pos_`s'=4 if est_`s'!=.
 39.         
.         ****
.         local s=`s'+1
 40.     reg diff_`var'_bef `treat'    $ecgeo_cont  [pw=w_dist_count ] if `sample' ==1 ,  cluster(llkk)
 41.         matrix C[1,1]=_b[ `treat']
 42.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 43.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 44. 
. 
.         svmat C
 45.         ren C1 est_`s'
 46.         ren C2 ci_low_`s'
 47.         ren C3 ci_high_`s'
 48.         gen pos_`s'=3 if est_`s'!=.
 49.         
.         ****
.         local s=`s'+1
 50.     reg diff_`var'_bef `treat'    diff_`var'_lag_bef [pw=w_dist_count ] if `sample' ==1 ,  cluster(llkk)
 51.         matrix C[1,1]=_b[ `treat']
 52.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 53.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 54. 
.         svmat C
 55.         ren C1 est_`s'
 56.         ren C2 ci_low_`s'
 57.         ren C3 ci_high_`s'
 58.         gen pos_`s'=2 if est_`s'!=.
 59.         ****
.         
.         local s=`s'+1
 60.         reg diff_`var'_bef `treat'    diff_`var'_lag_bef  $ecgeo_cont $turnout_cont     $pop_cont ///
>   [pw=w_dist_count ] if `sample' ==1 ,   cluster(llkk)
 61.         matrix C[1,1]=_b[ `treat']
 62.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 63.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 64. 
.         svmat C
 65.         ren C1 est_`s'
 66.         ren C2 ci_low_`s'
 67.         ren C3 ci_high_`s'
 68.         gen pos_`s'=1 if est_`s'!=.
 69.         ****
. 
. loc t " "       
 70. if ("`sample'"=="all" & "`var'"=="area_multi" ) | "`sample'"=="ab_med" loc t "All elections"
 71. if ("`sample'"== "close" & "`var'"=="area_multi" ) | "`sample'"=="ab_med_c"  loc t "Close elections"
 72. if ("`sample'"=="cl_bl" & "`var'"=="area_multi" )| "`sample'"=="ab_med_cl_bl" loc t "Close elections, no dominant bloc"
 73. 
. loc marg graphregion(margin(2 2 0 0))
 74. if "`var'"=="area_multi" & "`sample'"!="bel_med" & "`sample'"!="bel_med_c" & "`sample'"!="bel_med_cl_bl"  loc marg graphregion(m
> argin(2 2 3 0))
 75. if "`var'"=="area_single" &  ("`sample'"=="ab_med" | "`sample'"=="ab_med_c" | "`sample'"=="ab_med_cl_bl" ) loc marg graphregion(
> margin(2 2 3 0))
 76. 
. 
. 
. loc xset1 -0.4(0.1)0.1
 77. loc xset2 -0.4 0.1
 78. 
. if ("`sample'"!="all" & "`sample'"!= "close" & "`sample'"!="cl_bl" & "`var'"=="area_multi") {
 79. loc xset1 -0.6(0.2)0.15
 80. loc xset2 -0.6 0.15
 81. }
 82. 
. if ("`sample'"!="all" & "`sample'"!= "close" & "`sample'"!="cl_bl" & "`var'"=="area_single") {
 83. loc xset1 -0.4(0.2)0.2
 84. loc xset2 -0.4 0.2
 85. }
 86. 
. loc x xlabel(`xset1' , angle(horizontal) grid labsize(medium))  xscale(range(`xset2')) 
 87. if  "`var'"=="area_multi" & "`sample'"!="bel_med" & "`sample'"!="bel_med_c" & "`sample'"!="bel_med_cl_bl"  loc x xlabel(`xset1' 
> , grid nolabels) xscale(range(`xset2')) 
 88. if "`var'"=="area_single" &  ("`sample'"=="ab_med" | "`sample'"=="ab_med_c" | "`sample'"=="ab_med_cl_bl" ) loc x xlabel(`xset1' 
> , grid nolabels) xscale(range(`xset2')) 
 89. 
. 
. loc l1   legend(on order(1 "No controls" 3  "Population composition" 5 "Turnout" 7 "Economic Geography" 9 "Lagged outcome control" 
> 11 "All controls") rows(1) 
 90. if "`sample'"=="ab_med" loc l `l1' size(tiny))
 91. if  "`sample'"!="ab_med" loc l `l1' size(small))
 92. 
. * top part-yscale
. twoway (scatter  pos_1 est_1  , msize(medlarge)  msymbol(circle)   mcolor(gs1)) ///
>         (rbar ci_low_1 ci_high_1 pos_1 , lwidth(vvthin)  fcolor(gs1) lcolor(gs1) lpattern(solid) horizontal barwidth(.015)) ///
>         (scatter  pos_2 est_2  , msize(medlarge)  msymbol(circle)  mcolor(gs3)) ///
>         (rbar ci_low_2 ci_high_2 pos_2 , lwidth(vvthin)  fcolor(gs3) lcolor(gs3) lpattern(solid) horizontal barwidth(.015)) ///
>         (scatter  pos_3 est_3  , msize(medlarge)  msymbol(circle)  mcolor(gs5)) ///
>         (rbar ci_low_3 ci_high_3 pos_3 , lwidth(vvthin)  fcolor(gs5) lcolor(gs5) lpattern(solid) horizontal barwidth(.015)) ///
>         (scatter  pos_4 est_4  , msize(medlarge)  msymbol(circle)  mcolor(gs7)) ///
>         (rbar ci_low_4 ci_high_4 pos_4 , lwidth(vvthin)  fcolor(gs7) lcolor(gs7) lpattern(solid) horizontal barwidth(.015)) ///
>                 (scatter  pos_5 est_5  , msize(medlarge)  msymbol(circle)  mcolor(gs9)) ///
>         (rbar ci_low_5 ci_high_5 pos_5 , lwidth(vvthin)  fcolor(gs7) lcolor(gs9) lpattern(solid) horizontal barwidth(.015)) ///
>         (scatter  pos_6 est_6  , msize(medlarge)  msymbol(circle)  mcolor(gs11)) ///
>         (rbar ci_low_6 ci_high_6 pos_6 , lwidth(vvthin)  fcolor(gs7) lcolor(gs11) lpattern(solid) horizontal barwidth(.015)) ///
>         ,xline(0, lcolor(gs7) lpattern(dash))  yscale(range(0.5 6.5)) xtitle("") ///
>          ytitle(, size(zero)) ylabel(none)  scale(.7) ysize(10) xsize(20) scheme(s1mono)  ///
>            title("`t'", size(large)) ///
> `marg' `l' `x'
 93. 
.          graph save reg_`treat'_`sample'_`var', replace
 94. 
. restore
 95.         
.                 }
 96.                 }
area_multiall
(sum of wgt is 494)

Linear regression                               Number of obs     =     13,163
                                                F(1, 228)         =      15.99
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0081
                                                Root MSE          =     .21235

                                 (Std. err. adjusted for 229 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1995045   .0498893    -4.00   0.000    -.2978075   -.1012015
       _cons |   3.88e-19   5.02e-19     0.77   0.441    -6.02e-19    1.38e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 488.207021795278)

Linear regression                               Number of obs     =     12,432
                                                F(7, 228)         =      36.97
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1220
                                                Root MSE          =     .20095

                                        (Std. err. adjusted for 229 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.1570999     .04507    -3.49   0.001    -.2459068   -.0682929
     diff_highq_bef |   1.361215   .4199897     3.24   0.001      .533658    2.188773
    diff_highed_bef |   .5076337   .3270301     1.55   0.122    -.1367541    1.152021
       diff_own_bef |  -.2198875   .0961696    -2.29   0.023    -.4093823   -.0303927
        diff_em_bef |  -.6826963   .0948373    -7.20   0.000    -.8695659   -.4958268
   diff_retired_bef |    1.32383   .3347536     3.95   0.000     .6642236    1.983436
diff_child_7_15_bef |  -1.054654   .4348099    -2.43   0.016    -1.911414   -.1978948
              _cons |   .0001526   .0000618     2.47   0.014     .0000309    .0002744
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 494)

Linear regression                               Number of obs     =     13,163
                                                F(2, 228)         =      25.42
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0291
                                                Root MSE          =     .21009

                                    (Std. err. adjusted for 229 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |   -.197072   .0492248    -4.00   0.000    -.2940657   -.1000783
diff_voters_bef |  -1.375303   .2477676    -5.55   0.000     -1.86351    -.887096
          _cons |   4.60e-19   5.00e-19     0.92   0.359    -5.25e-19    1.44e-18
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 493.2872969722055)

Linear regression                               Number of obs     =     13,130
                                                F(5, 228)         =      44.61
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1558
                                                Root MSE          =     .19607

                                           (Std. err. adjusted for 229 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
   diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.1005129   .0393095    -2.56   0.011    -.1779692   -.0230565
 diff_b_area_multi_bef |   .8722243   .1219426     7.15   0.000     .6319458    1.112503
diff_b_area_single_bef |   .0502494   .1825651     0.28   0.783     -.309481    .4099798
        pop_dens_mdiff |  -.0682014   .0339752    -2.01   0.046     -.135147   -.0012559
    floorarea_pc_mdiff |  -.0002629   .0002359    -1.11   0.266    -.0007278    .0002019
                 _cons |   .0000108   .0000162     0.67   0.506    -.0000211    .0000426
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 494)

Linear regression                               Number of obs     =     13,163
                                                F(2, 228)         =      32.69
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0517
                                                Root MSE          =     .20764

                                            (Std. err. adjusted for 229 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1902575   .0471667    -4.03   0.000    -.2831959   -.0973191
diff_area_multi_lag_bef |   .2650981   .0420056     6.31   0.000     .1823293    .3478669
                  _cons |   3.89e-19   5.03e-19     0.77   0.440    -6.03e-19    1.38e-18
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 487.4943187674835)

Linear regression                               Number of obs     =     12,399
                                                F(13, 228)        =      29.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1866
                                                Root MSE          =     .19361

                                            (Std. err. adjusted for 229 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1027029   .0408198    -2.52   0.013    -.1831353   -.0222706
diff_area_multi_lag_bef |   .1204407    .044538     2.70   0.007     .0326819    .2081994
  diff_b_area_multi_bef |   .7286239   .1324005     5.50   0.000     .4677388     .989509
 diff_b_area_single_bef |  -.0166178    .181952    -0.09   0.927    -.3751403    .3419047
         pop_dens_mdiff |  -.0383978   .0250839    -1.53   0.127    -.0878237    .0110281
     floorarea_pc_mdiff |  -.0002229   .0002056    -1.08   0.280    -.0006281    .0001823
        diff_voters_bef |  -.6218636   .4222326    -1.47   0.142    -1.453841    .2101134
         diff_highq_bef |   1.516051   .3810165     3.98   0.000     .7652872    2.266815
        diff_highed_bef |   .4029852   .2883383     1.40   0.164    -.1651632    .9711335
           diff_own_bef |  -.1060948   .0872419    -1.22   0.225    -.2779983    .0658086
            diff_em_bef |  -.0876849   .1284408    -0.68   0.495    -.3407675    .1653978
       diff_retired_bef |   .8687056   .3768525     2.31   0.022     .1261467    1.611265
    diff_child_7_15_bef |   .0717111   .4157704     0.17   0.863    -.7475326    .8909549
                  _cons |   .0001086    .000057     1.90   0.058    -3.80e-06    .0002209
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_all_area_multi.gph saved
area_multiclose
(sum of wgt is 263)

Linear regression                               Number of obs     =      9,010
                                                F(1, 150)         =       4.83
                                                Prob > F          =     0.0294
                                                R-squared         =     0.0038
                                                Root MSE          =     .19251

                                 (Std. err. adjusted for 151 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1407419    .064008    -2.20   0.029    -.2672156   -.0142682
       _cons |   7.64e-20   5.73e-19     0.13   0.894    -1.06e-18    1.21e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 258.3284813734364)

Linear regression                               Number of obs     =      8,322
                                                F(7, 150)         =      13.83
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1035
                                                Root MSE          =      .1842

                                        (Std. err. adjusted for 151 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.1400735    .057351    -2.44   0.016    -.2533936   -.0267534
     diff_highq_bef |   1.814937   .4708069     3.85   0.000     .8846675    2.745207
    diff_highed_bef |   -.333528   .3803452    -0.88   0.382    -1.085054    .4179982
       diff_own_bef |  -.3545824   .1335446    -2.66   0.009    -.6184538    -.090711
        diff_em_bef |  -.5321937   .1444505    -3.68   0.000    -.8176142   -.2467733
   diff_retired_bef |   .7901748    .436293     1.81   0.072    -.0718988    1.652248
diff_child_7_15_bef |  -1.773686   .5645116    -3.14   0.002    -2.889108   -.6582647
              _cons |   .0001845   .0001089     1.69   0.092    -.0000307    .0003997
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 263)

Linear regression                               Number of obs     =      9,010
                                                F(2, 150)         =      10.77
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0224
                                                Root MSE          =     .19072

                                    (Std. err. adjusted for 151 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |   -.167482   .0627037    -2.67   0.008    -.2913786   -.0435855
diff_voters_bef |   -1.32246   .3614587    -3.66   0.000    -2.036668   -.6082519
          _cons |   1.45e-19   5.55e-19     0.26   0.794    -9.52e-19    1.24e-18
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 262.5534929854946)

Linear regression                               Number of obs     =      8,986
                                                F(5, 150)         =      22.73
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1564
                                                Root MSE          =     .17734

                                           (Std. err. adjusted for 151 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
   diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.1241242     .05533    -2.24   0.026    -.2334511   -.0147973
 diff_b_area_multi_bef |   .9920183   .1171668     8.47   0.000     .7605077    1.223529
diff_b_area_single_bef |    .377302   .1754796     2.15   0.033     .0305709     .724033
        pop_dens_mdiff |  -.0507354   .0350451    -1.45   0.150    -.1199812    .0185104
    floorarea_pc_mdiff |   -.000435   .0002707    -1.61   0.110    -.0009698    .0000999
                 _cons |  -2.40e-06   .0000248    -0.10   0.923    -.0000514    .0000466
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 263)

Linear regression                               Number of obs     =      9,010
                                                F(2, 150)         =      22.10
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0549
                                                Root MSE          =     .18752

                                            (Std. err. adjusted for 151 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |   -.142684   .0616256    -2.32   0.022    -.2644503   -.0209177
diff_area_multi_lag_bef |   .2891442   .0490701     5.89   0.000     .1921863     .386102
                  _cons |   1.41e-19   4.59e-19     0.31   0.760    -7.67e-19    1.05e-18
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 257.881974358931)

Linear regression                               Number of obs     =      8,298
                                                F(13, 150)        =      14.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1828
                                                Root MSE          =     .17608

                                            (Std. err. adjusted for 151 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1141684   .0604433    -1.89   0.061    -.2335986    .0052619
diff_area_multi_lag_bef |   .1460165   .0486734     3.00   0.003     .0498426    .2421905
  diff_b_area_multi_bef |   .8910845   .1531736     5.82   0.000      .588428    1.193741
 diff_b_area_single_bef |   .3081398   .1789864     1.72   0.087    -.0455204       .6618
         pop_dens_mdiff |  -.0076988   .0255727    -0.30   0.764    -.0582281    .0428305
     floorarea_pc_mdiff |  -.0004148   .0002446    -1.70   0.092    -.0008981    .0000684
        diff_voters_bef |   .1810978   .4888341     0.37   0.712    -.7847921    1.146988
         diff_highq_bef |   1.202066   .4615365     2.60   0.010     .2901134    2.114018
        diff_highed_bef |  -.2812484   .3337784    -0.84   0.401     -.940763    .3782662
           diff_own_bef |  -.1730487   .1146188    -1.51   0.133    -.3995246    .0534272
            diff_em_bef |   .0078492   .1741404     0.05   0.964    -.3362359    .3519342
       diff_retired_bef |   .1521164    .417611     0.36   0.716    -.6730434    .9772762
    diff_child_7_15_bef |  -.6405997   .4961953    -1.29   0.199    -1.621035    .3398353
                  _cons |   .0000855   .0000891     0.96   0.339    -.0000905    .0002616
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_close_area_multi.gph saved
area_multicl_bl
(sum of wgt is 181)

Linear regression                               Number of obs     =      6,538
                                                F(1, 112)         =       4.93
                                                Prob > F          =     0.0284
                                                R-squared         =     0.0062
                                                Root MSE          =     .18909

                                 (Std. err. adjusted for 113 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1736838   .0782328    -2.22   0.028    -.3286921   -.0186754
       _cons |   2.58e-19   4.44e-19     0.58   0.562    -6.21e-19    1.14e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 177.3215037398886)

Linear regression                               Number of obs     =      5,973
                                                F(7, 112)         =      12.16
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1022
                                                Root MSE          =     .18154

                                        (Std. err. adjusted for 113 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.1616062   .0691348    -2.34   0.021     -.298588   -.0246244
     diff_highq_bef |   1.927212   .5635614     3.42   0.001     .8105873    3.043837
    diff_highed_bef |   .0227677   .4588519     0.05   0.961    -.8863886     .931924
       diff_own_bef |  -.2919632   .1621501    -1.80   0.074    -.6132429    .0293165
        diff_em_bef |  -.5971404   .1741637    -3.43   0.001    -.9422235   -.2520573
   diff_retired_bef |   .4028712   .5194802     0.78   0.440    -.6264121    1.432155
diff_child_7_15_bef |  -1.940211   .7165826    -2.71   0.008    -3.360028    -.520395
              _cons |   .0002536   .0001542     1.64   0.103    -.0000519    .0005592
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 181)

Linear regression                               Number of obs     =      6,538
                                                F(2, 112)         =       9.22
                                                Prob > F          =     0.0002
                                                R-squared         =     0.0219
                                                Root MSE          =     .18761

                                    (Std. err. adjusted for 113 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.1993465   .0762124    -2.62   0.010    -.3503515   -.0483415
diff_voters_bef |  -1.236648   .4194777    -2.95   0.004    -2.067789   -.4055068
          _cons |   4.69e-19   6.06e-19     0.77   0.440    -7.31e-19    1.67e-18
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 180.6454005224021)

Linear regression                               Number of obs     =      6,519
                                                F(5, 112)         =      20.63
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1656
                                                Root MSE          =     .17348

                                           (Std. err. adjusted for 113 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
   diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.1457086   .0615576    -2.37   0.020     -.267677   -.0237401
 diff_b_area_multi_bef |   1.089453   .1223024     8.91   0.000     .8471266     1.33178
diff_b_area_single_bef |   .5599894   .1931136     2.90   0.004     .1773594    .9426193
        pop_dens_mdiff |   -.027386   .0222486    -1.23   0.221    -.0714688    .0166968
    floorarea_pc_mdiff |  -.0005678   .0002916    -1.95   0.054    -.0011457    .0000101
                 _cons |  -.0000113   .0000352    -0.32   0.749     -.000081    .0000584
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 181)

Linear regression                               Number of obs     =      6,538
                                                F(2, 112)         =      12.36
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0467
                                                Root MSE          =     .18522

                                            (Std. err. adjusted for 113 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1816655   .0771221    -2.36   0.020    -.3344731   -.0288579
diff_area_multi_lag_bef |   .2644036   .0629137     4.20   0.000     .1397481    .3890591
                  _cons |   2.99e-19   6.08e-19     0.49   0.623    -9.05e-19    1.50e-18
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 176.9669042622907)

Linear regression                               Number of obs     =      5,954
                                                F(13, 112)        =      13.39
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1948
                                                Root MSE          =     .17218

                                            (Std. err. adjusted for 113 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1315321   .0672542    -1.96   0.053    -.2647877    .0017235
diff_area_multi_lag_bef |   .1048847   .0632637     1.66   0.100    -.0204642    .2302336
  diff_b_area_multi_bef |   1.016347   .1462774     6.95   0.000     .7265174    1.306177
 diff_b_area_single_bef |   .4433438    .201424     2.20   0.030     .0442479    .8424397
         pop_dens_mdiff |  -.0100834   .0216381    -0.47   0.642    -.0529566    .0327897
     floorarea_pc_mdiff |  -.0005445   .0002615    -2.08   0.040    -.0010625   -.0000264
        diff_voters_bef |  -.3604125   .5364242    -0.67   0.503    -1.423268    .7024432
         diff_highq_bef |   1.496949   .5634586     2.66   0.009     .3805276    2.613369
        diff_highed_bef |   .1676078    .414045     0.40   0.686    -.6527692    .9879849
           diff_own_bef |  -.1223394   .1347566    -0.91   0.366    -.3893423    .1446636
            diff_em_bef |   .0154001    .183716     0.08   0.933    -.3486097    .3794098
       diff_retired_bef |   .0787559   .4722061     0.17   0.868      -.85686    1.014372
    diff_child_7_15_bef |  -.5003893   .6329208    -0.79   0.431    -1.754441    .7536622
                  _cons |   .0001189   .0001389     0.86   0.394    -.0001563    .0003941
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_cl_bl_area_multi.gph saved
area_multiab_med
(sum of wgt is 328)

Linear regression                               Number of obs     =     11,848
                                                F(1, 135)         =       4.60
                                                Prob > F          =     0.0337
                                                R-squared         =     0.0021
                                                Root MSE          =     .15433

                                 (Std. err. adjusted for 136 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1036366   .0483022    -2.15   0.034    -.1991634   -.0081097
       _cons |  -1.85e-19   3.84e-19    -0.48   0.632    -9.45e-19    5.76e-19
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 322.3736884619447)

Linear regression                               Number of obs     =     11,119
                                                F(7, 135)         =      22.77
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1111
                                                Root MSE          =     .14683

                                        (Std. err. adjusted for 136 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.1019217   .0432796    -2.35   0.020    -.1875154    -.016328
     diff_highq_bef |   2.256917   .4392351     5.14   0.000     1.388245    3.125589
    diff_highed_bef |  -.0051885   .3686768    -0.01   0.989    -.7343178    .7239407
       diff_own_bef |  -.2992755   .0887819    -3.37   0.001    -.4748587   -.1236923
        diff_em_bef |  -.3547205   .1010389    -3.51   0.001    -.5545445   -.1548966
   diff_retired_bef |   1.165507   .3201346     3.64   0.000     .5323794    1.798635
diff_child_7_15_bef |  -2.190437   .3616642    -6.06   0.000    -2.905697   -1.475176
              _cons |   .0002437   .0000962     2.53   0.012     .0000535    .0004338
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 328)

Linear regression                               Number of obs     =     11,848
                                                F(2, 135)         =      10.98
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0123
                                                Root MSE          =     .15354

                                    (Std. err. adjusted for 136 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.0886713   .0481262    -1.84   0.068    -.1838502    .0065075
diff_voters_bef |  -.9693323   .2248564    -4.31   0.000    -1.414029   -.5246354
          _cons |  -2.19e-19   4.57e-19    -0.48   0.633    -1.12e-18    6.84e-19
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 327.2872969722055)

Linear regression                               Number of obs     =     11,815
                                                F(5, 135)         =      17.42
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0840
                                                Root MSE          =     .14804

                                           (Std. err. adjusted for 136 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
   diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0634557     .04398    -1.44   0.151    -.1504345    .0235232
 diff_b_area_multi_bef |   .7421647   .1169683     6.35   0.000     .5108374    .9734919
diff_b_area_single_bef |   -.009559   .1416834    -0.07   0.946    -.2897652    .2706472
        pop_dens_mdiff |  -.0575457   .0268721    -2.14   0.034    -.1106906   -.0044009
    floorarea_pc_mdiff |  -.0004169   .0001448    -2.88   0.005    -.0007033   -.0001305
                 _cons |   .0000388   .0000257     1.51   0.134    -.0000121    .0000897
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 328)

Linear regression                               Number of obs     =     11,848
                                                F(2, 135)         =      31.52
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0641
                                                Root MSE          =     .14947

                                            (Std. err. adjusted for 136 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1209334   .0456136    -2.65   0.009    -.2111431   -.0307237
diff_area_multi_lag_bef |   .2790359   .0357381     7.81   0.000      .208357    .3497148
                  _cons |  -1.22e-19   3.24e-19    -0.38   0.707    -7.63e-19    5.19e-19
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 321.6609854341502)

Linear regression                               Number of obs     =     11,086
                                                F(13, 135)        =      25.21
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1560
                                                Root MSE          =     .14326

                                            (Std. err. adjusted for 136 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.0982123   .0413566    -2.37   0.019     -.180003   -.0164217
diff_area_multi_lag_bef |   .1630912   .0393032     4.15   0.000     .0853615    .2408208
  diff_b_area_multi_bef |   .4999012   .1250993     4.00   0.000     .2524931    .7473092
 diff_b_area_single_bef |  -.0340627   .1102335    -0.31   0.758    -.2520706    .1839452
         pop_dens_mdiff |  -.0160724   .0162612    -0.99   0.325    -.0482322    .0160873
     floorarea_pc_mdiff |  -.0004609   .0001143    -4.03   0.000     -.000687   -.0002347
        diff_voters_bef |   -.803099   .3608381    -2.23   0.028    -1.516726   -.0894722
         diff_highq_bef |   2.462378   .4750053     5.18   0.000     1.522964    3.401792
        diff_highed_bef |  -.0230868   .3150619    -0.07   0.942    -.6461822    .6000086
           diff_own_bef |  -.2121763   .0760033    -2.79   0.006    -.3624875   -.0618651
            diff_em_bef |   .0396158   .1158528     0.34   0.733    -.1895053    .2687369
       diff_retired_bef |   .9293621   .3317745     2.80   0.006     .2732142     1.58551
    diff_child_7_15_bef |  -1.125074   .2941401    -3.82   0.000    -1.706792   -.5433551
                  _cons |   .0002147   .0000713     3.01   0.003     .0000737    .0003558
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_ab_med_area_multi.gph saved
area_multibel_med
(sum of wgt is 167)

Linear regression                               Number of obs     =      1,316
                                                F(1, 96)          =      11.77
                                                Prob > F          =     0.0009
                                                R-squared         =     0.0128
                                                Root MSE          =     .29428

                                  (Std. err. adjusted for 97 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |    -.24718   .0720569    -3.43   0.001    -.3902118   -.1041482
       _cons |   4.22e-19   1.24e-18     0.34   0.734    -2.03e-18    2.88e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 166.8333333333333)

Linear regression                               Number of obs     =      1,314
                                                F(7, 96)          =      25.63
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1467
                                                Root MSE          =     .27436

                                         (Std. err. adjusted for 97 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.1775756   .0657267    -2.70   0.008     -.308042   -.0471092
     diff_highq_bef |   .6984953   .5677883     1.23   0.222    -.4285556    1.825546
    diff_highed_bef |     .81453   .4165419     1.96   0.053    -.0122991    1.641359
       diff_own_bef |  -.1717395   .1420611    -1.21   0.230    -.4537286    .1102496
        diff_em_bef |  -.8825978   .1323166    -6.67   0.000    -1.145244   -.6199515
   diff_retired_bef |   1.192179   .4851375     2.46   0.016     .2291883    2.155169
diff_child_7_15_bef |  -.5651445   .6082062    -0.93   0.355    -1.772424    .6421352
              _cons |   .0000144    .000015     0.96   0.342    -.0000155    .0000443
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 167)

Linear regression                               Number of obs     =      1,316
                                                F(2, 96)          =      17.08
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0417
                                                Root MSE          =     .29004

                                     (Std. err. adjusted for 97 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.2552732   .0702833    -3.63   0.000    -.3947845   -.1157619
diff_voters_bef |   -1.60916   .3628818    -4.43   0.000    -2.329474   -.8888449
          _cons |   9.50e-19   1.35e-18     0.70   0.483    -1.73e-18    3.63e-18
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 167)

Linear regression                               Number of obs     =      1,316
                                                F(5, 96)          =      32.47
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1979
                                                Root MSE          =     .26565

                                            (Std. err. adjusted for 97 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
   diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.1140723   .0564035    -2.02   0.046    -.2260323   -.0021123
 diff_b_area_multi_bef |   .8767215   .1710473     5.13   0.000     .5371952    1.216248
diff_b_area_single_bef |  -.1139781    .316768    -0.36   0.720    -.7427575    .5148014
        pop_dens_mdiff |  -.1940876   .2247324    -0.86   0.390    -.6401778    .2520027
    floorarea_pc_mdiff |   .0006017   .0006391     0.94   0.349    -.0006668    .0018702
                 _cons |   8.22e-19   1.83e-18     0.45   0.653    -2.80e-18    4.45e-18
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 167)

Linear regression                               Number of obs     =      1,316
                                                F(2, 96)          =      15.24
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0460
                                                Root MSE          =     .28939

                                             (Std. err. adjusted for 97 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.2262697   .0685934    -3.30   0.001    -.3624265   -.0901129
diff_area_multi_lag_bef |   .2517641   .0710178     3.55   0.001     .1107948    .3927334
                  _cons |   4.11e-19   1.25e-18     0.33   0.742    -2.06e-18    2.88e-18
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 166.8333333333333)

Linear regression                               Number of obs     =      1,314
                                                F(13, 96)         =      20.73
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2200
                                                Root MSE          =     .26292

                                             (Std. err. adjusted for 97 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |   -.096879   .0612251    -1.58   0.117    -.2184098    .0246519
diff_area_multi_lag_bef |   .0764343   .0758688     1.01   0.316    -.0741641    .2270327
  diff_b_area_multi_bef |   .7821213   .1777223     4.40   0.000     .4293453    1.134897
 diff_b_area_single_bef |   -.107648   .3027824    -0.36   0.723    -.7086664    .4933704
         pop_dens_mdiff |  -.2053058   .2167047    -0.95   0.346    -.6354612    .2248496
     floorarea_pc_mdiff |   .0008002   .0005801     1.38   0.171    -.0003512    .0019517
        diff_voters_bef |  -.6526247   .5353947    -1.22   0.226    -1.715375    .4101254
         diff_highq_bef |   .9588885   .4958439     1.93   0.056    -.0253537    1.943131
        diff_highed_bef |   .5800582   .3775715     1.54   0.128    -.1694154    1.329532
           diff_own_bef |  -.0378164    .134683    -0.28   0.779      -.30516    .2295272
            diff_em_bef |  -.2141221   .1902577    -1.13   0.263    -.5917807    .1635365
       diff_retired_bef |   .7402291   .5388395     1.37   0.173    -.3293588    1.809817
    diff_child_7_15_bef |   .7134024   .5928094     1.20   0.232    -.4633149     1.89012
                  _cons |  -.0000104   .0000126    -0.83   0.410    -.0000355    .0000146
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_bel_med_area_multi.gph saved
area_multiab_med_c
(sum of wgt is 140)

Linear regression                               Number of obs     =      6,208
                                                F(1, 81)          =       2.55
                                                Prob > F          =     0.1142
                                                R-squared         =     0.0045
                                                Root MSE          =     .14755

                                  (Std. err. adjusted for 82 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1486665   .0931049    -1.60   0.114     -.333916     .036583
       _cons |  -3.98e-20   4.45e-19    -0.09   0.929    -9.24e-19    8.45e-19
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 136.3215037398886)

Linear regression                               Number of obs     =      5,643
                                                F(7, 81)          =       8.49
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0689
                                                Root MSE          =     .14446

                                         (Std. err. adjusted for 82 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0990851    .071151    -1.39   0.168    -.2406533     .042483
     diff_highq_bef |   1.399474   .4780694     2.93   0.004      .448266    2.350682
    diff_highed_bef |   .3606308   .4597639     0.78   0.435    -.5541551    1.275417
       diff_own_bef |  -.1669649   .1155607    -1.44   0.152    -.3968946    .0629647
        diff_em_bef |  -.3239195   .1486153    -2.18   0.032    -.6196173   -.0282217
   diff_retired_bef |    .488262   .5009022     0.97   0.333    -.5083763      1.4849
diff_child_7_15_bef |  -2.010258   .6165307    -3.26   0.002     -3.23696   -.7835547
              _cons |    .000388   .0001813     2.14   0.035     .0000273    .0007488
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 140)

Linear regression                               Number of obs     =      6,208
                                                F(2, 81)          =       3.25
                                                Prob > F          =     0.0438
                                                R-squared         =     0.0095
                                                Root MSE          =     .14719

                                     (Std. err. adjusted for 82 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.1402908   .0915114    -1.53   0.129    -.3223697    .0417881
diff_voters_bef |  -.6635643   .3166731    -2.10   0.039    -1.293645   -.0334841
          _cons |  -5.21e-20   3.90e-19    -0.13   0.894    -8.28e-19    7.23e-19
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 139.6454005224021)

Linear regression                               Number of obs     =      6,189
                                                F(5, 81)          =       6.35
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0643
                                                Root MSE          =     .14327

                                            (Std. err. adjusted for 82 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
   diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0996839   .0748374    -1.33   0.187     -.248587    .0492191
 diff_b_area_multi_bef |   .7428683   .1394124     5.33   0.000     .4654813    1.020255
diff_b_area_single_bef |     .23502   .1499606     1.57   0.121    -.0633545    .5333945
        pop_dens_mdiff |  -.0307009    .019991    -1.54   0.129    -.0704768     .009075
    floorarea_pc_mdiff |  -.0005294   .0001657    -3.19   0.002    -.0008592   -.0001997
                 _cons |   .0000223   .0000389     0.57   0.568    -.0000551    .0000997
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 140)

Linear regression                               Number of obs     =      6,208
                                                F(2, 81)          =       9.43
                                                Prob > F          =     0.0002
                                                R-squared         =     0.0573
                                                Root MSE          =     .14359

                                             (Std. err. adjusted for 82 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1616274   .0844953    -1.91   0.059    -.3297466    .0064918
diff_area_multi_lag_bef |   .2722455   .0633404     4.30   0.000      .146218    .3982731
                  _cons |  -1.39e-20   5.02e-19    -0.03   0.978    -1.01e-18    9.86e-19
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 135.9669042622907)

Linear regression                               Number of obs     =      5,624
                                                F(13, 81)         =      10.99
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1179
                                                Root MSE          =     .14085

                                             (Std. err. adjusted for 82 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1018559    .066036    -1.54   0.127    -.2332468     .029535
diff_area_multi_lag_bef |   .1962956   .0681541     2.88   0.005     .0606902    .3319009
  diff_b_area_multi_bef |     .58705   .1935302     3.03   0.003     .2019857    .9721144
 diff_b_area_single_bef |   .2894555   .1302261     2.22   0.029     .0303463    .5485647
         pop_dens_mdiff |  -.0141977   .0183134    -0.78   0.440    -.0506357    .0222403
     floorarea_pc_mdiff |  -.0005336   .0001586    -3.36   0.001    -.0008492   -.0002179
        diff_voters_bef |   .1614948   .6288556     0.26   0.798    -1.089731     1.41272
         diff_highq_bef |   1.114291   .6157662     1.81   0.074    -.1108907    2.339472
        diff_highed_bef |   .1476324   .4098278     0.36   0.720    -.6677963    .9630611
           diff_own_bef |  -.1570108   .1084847    -1.45   0.152    -.3728613    .0588397
            diff_em_bef |  -.0824703   .2068551    -0.40   0.691    -.4940471    .3291065
       diff_retired_bef |   .0067657   .5333294     0.01   0.990    -1.054392    1.067924
    diff_child_7_15_bef |  -1.303076   .5319612    -2.45   0.016    -2.361512   -.2446396
                  _cons |   .0002879   .0001424     2.02   0.046     4.60e-06    .0005711
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_ab_med_c_area_multi.gph saved
area_multibel_med_c
(sum of wgt is 41)

Linear regression                               Number of obs     =        330
                                                F(1, 33)          =       2.50
                                                Prob > F          =     0.1233
                                                R-squared         =     0.0080
                                                Root MSE          =     .28978

                                  (Std. err. adjusted for 34 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1950949   .1233541    -1.58   0.123    -.4460608    .0558709
       _cons |   3.51e-19   1.86e-18     0.19   0.852    -3.44e-18    4.14e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 41)

Linear regression                               Number of obs     =        330
                                                F(7, 33)          =       9.89
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1511
                                                Root MSE          =     .27055

                                         (Std. err. adjusted for 34 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.2616661    .113282    -2.31   0.027    -.4921401    -.031192
     diff_highq_bef |   1.887789   .9820592     1.92   0.063     -.110225    3.885804
    diff_highed_bef |   .0280339   .7105212     0.04   0.969    -1.417532      1.4736
       diff_own_bef |  -.4043126   .3163935    -1.28   0.210     -1.04802    .2393947
        diff_em_bef |  -.8382711   .3003406    -2.79   0.009    -1.449319   -.2272236
   diff_retired_bef |   .1887227   .9638422     0.20   0.846    -1.772229    2.149674
diff_child_7_15_bef |  -1.819297   1.267107    -1.44   0.160    -4.397246    .7586516
              _cons |   1.01e-18   3.24e-18     0.31   0.757    -5.58e-18    7.60e-18
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 41)

Linear regression                               Number of obs     =        330
                                                F(2, 33)          =       7.50
                                                Prob > F          =     0.0021
                                                R-squared         =     0.0424
                                                Root MSE          =     .28515

                                     (Std. err. adjusted for 34 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.2919599   .1160604    -2.52   0.017    -.5280866   -.0558332
diff_voters_bef |  -1.964201    .743367    -2.64   0.012    -3.476593   -.4518096
          _cons |   2.25e-18   1.93e-18     1.17   0.252    -1.68e-18    6.18e-18
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 41)

Linear regression                               Number of obs     =        330
                                                F(5, 33)          =      21.02
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2809
                                                Root MSE          =     .24824

                                            (Std. err. adjusted for 34 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
   diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.1727273   .1009472    -1.71   0.096    -.3781061    .0326514
 diff_b_area_multi_bef |   1.255808   .2143668     5.86   0.000      .819675     1.69194
diff_b_area_single_bef |   .9366882   .4277615     2.19   0.036     .0664009    1.806976
        pop_dens_mdiff |   5.422194   6.631551     0.82   0.419    -8.069798    18.91419
    floorarea_pc_mdiff |   .0002313   .0008705     0.27   0.792    -.0015397    .0020023
                 _cons |   1.65e-18   2.63e-18     0.63   0.534    -3.70e-18    7.01e-18
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 41)

Linear regression                               Number of obs     =        330
                                                F(2, 33)          =       4.19
                                                Prob > F          =     0.0239
                                                R-squared         =     0.0375
                                                Root MSE          =     .28588

                                             (Std. err. adjusted for 34 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1989657   .1254597    -1.59   0.122    -.4542153    .0562839
diff_area_multi_lag_bef |   .2533393    .126186     2.01   0.053    -.0033879    .5100666
                  _cons |   6.36e-19   1.50e-18     0.42   0.674    -2.42e-18    3.69e-18
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 41)

Linear regression                               Number of obs     =        330
                                                F(13, 33)         =      12.50
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3058
                                                Root MSE          =     .24698

                                             (Std. err. adjusted for 34 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1292696   .1162382    -1.11   0.274     -.365758    .1072188
diff_area_multi_lag_bef |  -.0718688    .115789    -0.62   0.539    -.3074433    .1637057
  diff_b_area_multi_bef |    1.31774   .2409224     5.47   0.000     .8275798      1.8079
 diff_b_area_single_bef |   .5831345   .5487182     1.06   0.296    -.5332411     1.69951
         pop_dens_mdiff |   5.136891   7.349878     0.70   0.490    -9.816549    20.09033
     floorarea_pc_mdiff |   .0004696   .0008381     0.56   0.579    -.0012354    .0021747
        diff_voters_bef |  -.7264335   .8021965    -0.91   0.372    -2.358515    .9056475
         diff_highq_bef |   1.351036   .9334578     1.45   0.157     -.548098     3.25017
        diff_highed_bef |   .4675753   .7724562     0.61   0.549    -1.103999    2.039149
           diff_own_bef |  -.0692032   .2471839    -0.28   0.781    -.5721025    .4336962
            diff_em_bef |   .1263714   .2788147     0.45   0.653    -.4408814    .6936241
       diff_retired_bef |   .3751333   .8594171     0.44   0.665    -1.373364    2.123631
    diff_child_7_15_bef |   .8667334   1.112747     0.78   0.442    -1.397168    3.130635
                  _cons |   2.32e-18   4.92e-18     0.47   0.641    -7.69e-18    1.23e-17
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_bel_med_c_area_multi.gph saved
area_multiab_med_cl_bl
(sum of wgt is 140)

Linear regression                               Number of obs     =      6,208
                                                F(1, 81)          =       2.55
                                                Prob > F          =     0.1142
                                                R-squared         =     0.0045
                                                Root MSE          =     .14755

                                  (Std. err. adjusted for 82 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1486665   .0931049    -1.60   0.114     -.333916     .036583
       _cons |  -3.98e-20   4.45e-19    -0.09   0.929    -9.24e-19    8.45e-19
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 136.3215037398886)

Linear regression                               Number of obs     =      5,643
                                                F(7, 81)          =       8.49
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0689
                                                Root MSE          =     .14446

                                         (Std. err. adjusted for 82 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0990851    .071151    -1.39   0.168    -.2406533     .042483
     diff_highq_bef |   1.399474   .4780694     2.93   0.004      .448266    2.350682
    diff_highed_bef |   .3606308   .4597639     0.78   0.435    -.5541551    1.275417
       diff_own_bef |  -.1669649   .1155607    -1.44   0.152    -.3968946    .0629647
        diff_em_bef |  -.3239195   .1486153    -2.18   0.032    -.6196173   -.0282217
   diff_retired_bef |    .488262   .5009022     0.97   0.333    -.5083763      1.4849
diff_child_7_15_bef |  -2.010258   .6165307    -3.26   0.002     -3.23696   -.7835547
              _cons |    .000388   .0001813     2.14   0.035     .0000273    .0007488
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 140)

Linear regression                               Number of obs     =      6,208
                                                F(2, 81)          =       3.25
                                                Prob > F          =     0.0438
                                                R-squared         =     0.0095
                                                Root MSE          =     .14719

                                     (Std. err. adjusted for 82 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.1402908   .0915114    -1.53   0.129    -.3223697    .0417881
diff_voters_bef |  -.6635643   .3166731    -2.10   0.039    -1.293645   -.0334841
          _cons |  -5.21e-20   3.90e-19    -0.13   0.894    -8.28e-19    7.23e-19
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 139.6454005224021)

Linear regression                               Number of obs     =      6,189
                                                F(5, 81)          =       6.35
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0643
                                                Root MSE          =     .14327

                                            (Std. err. adjusted for 82 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
   diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0996839   .0748374    -1.33   0.187     -.248587    .0492191
 diff_b_area_multi_bef |   .7428683   .1394124     5.33   0.000     .4654813    1.020255
diff_b_area_single_bef |     .23502   .1499606     1.57   0.121    -.0633545    .5333945
        pop_dens_mdiff |  -.0307009    .019991    -1.54   0.129    -.0704768     .009075
    floorarea_pc_mdiff |  -.0005294   .0001657    -3.19   0.002    -.0008592   -.0001997
                 _cons |   .0000223   .0000389     0.57   0.568    -.0000551    .0000997
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 140)

Linear regression                               Number of obs     =      6,208
                                                F(2, 81)          =       9.43
                                                Prob > F          =     0.0002
                                                R-squared         =     0.0573
                                                Root MSE          =     .14359

                                             (Std. err. adjusted for 82 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1616274   .0844953    -1.91   0.059    -.3297466    .0064918
diff_area_multi_lag_bef |   .2722455   .0633404     4.30   0.000      .146218    .3982731
                  _cons |  -1.39e-20   5.02e-19    -0.03   0.978    -1.01e-18    9.86e-19
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 135.9669042622907)

Linear regression                               Number of obs     =      5,624
                                                F(13, 81)         =      10.99
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1179
                                                Root MSE          =     .14085

                                             (Std. err. adjusted for 82 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1018559    .066036    -1.54   0.127    -.2332468     .029535
diff_area_multi_lag_bef |   .1962956   .0681541     2.88   0.005     .0606902    .3319009
  diff_b_area_multi_bef |     .58705   .1935302     3.03   0.003     .2019857    .9721144
 diff_b_area_single_bef |   .2894555   .1302261     2.22   0.029     .0303463    .5485647
         pop_dens_mdiff |  -.0141977   .0183134    -0.78   0.440    -.0506357    .0222403
     floorarea_pc_mdiff |  -.0005336   .0001586    -3.36   0.001    -.0008492   -.0002179
        diff_voters_bef |   .1614948   .6288556     0.26   0.798    -1.089731     1.41272
         diff_highq_bef |   1.114291   .6157662     1.81   0.074    -.1108907    2.339472
        diff_highed_bef |   .1476324   .4098278     0.36   0.720    -.6677963    .9630611
           diff_own_bef |  -.1570108   .1084847    -1.45   0.152    -.3728613    .0588397
            diff_em_bef |  -.0824703   .2068551    -0.40   0.691    -.4940471    .3291065
       diff_retired_bef |   .0067657   .5333294     0.01   0.990    -1.054392    1.067924
    diff_child_7_15_bef |  -1.303076   .5319612    -2.45   0.016    -2.361512   -.2446396
                  _cons |   .0002879   .0001424     2.02   0.046     4.60e-06    .0005711
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_ab_med_cl_bl_area_multi.gph saved
area_multibel_med_cl_bl
(sum of wgt is 41)

Linear regression                               Number of obs     =        330
                                                F(1, 33)          =       2.50
                                                Prob > F          =     0.1233
                                                R-squared         =     0.0080
                                                Root MSE          =     .28978

                                  (Std. err. adjusted for 34 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1950949   .1233541    -1.58   0.123    -.4460608    .0558709
       _cons |   3.51e-19   1.86e-18     0.19   0.852    -3.44e-18    4.14e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 41)

Linear regression                               Number of obs     =        330
                                                F(7, 33)          =       9.89
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1511
                                                Root MSE          =     .27055

                                         (Std. err. adjusted for 34 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.2616661    .113282    -2.31   0.027    -.4921401    -.031192
     diff_highq_bef |   1.887789   .9820592     1.92   0.063     -.110225    3.885804
    diff_highed_bef |   .0280339   .7105212     0.04   0.969    -1.417532      1.4736
       diff_own_bef |  -.4043126   .3163935    -1.28   0.210     -1.04802    .2393947
        diff_em_bef |  -.8382711   .3003406    -2.79   0.009    -1.449319   -.2272236
   diff_retired_bef |   .1887227   .9638422     0.20   0.846    -1.772229    2.149674
diff_child_7_15_bef |  -1.819297   1.267107    -1.44   0.160    -4.397246    .7586516
              _cons |   1.01e-18   3.24e-18     0.31   0.757    -5.58e-18    7.60e-18
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 41)

Linear regression                               Number of obs     =        330
                                                F(2, 33)          =       7.50
                                                Prob > F          =     0.0021
                                                R-squared         =     0.0424
                                                Root MSE          =     .28515

                                     (Std. err. adjusted for 34 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.2919599   .1160604    -2.52   0.017    -.5280866   -.0558332
diff_voters_bef |  -1.964201    .743367    -2.64   0.012    -3.476593   -.4518096
          _cons |   2.25e-18   1.93e-18     1.17   0.252    -1.68e-18    6.18e-18
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 41)

Linear regression                               Number of obs     =        330
                                                F(5, 33)          =      21.02
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2809
                                                Root MSE          =     .24824

                                            (Std. err. adjusted for 34 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
   diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.1727273   .1009472    -1.71   0.096    -.3781061    .0326514
 diff_b_area_multi_bef |   1.255808   .2143668     5.86   0.000      .819675     1.69194
diff_b_area_single_bef |   .9366882   .4277615     2.19   0.036     .0664009    1.806976
        pop_dens_mdiff |   5.422194   6.631551     0.82   0.419    -8.069798    18.91419
    floorarea_pc_mdiff |   .0002313   .0008705     0.27   0.792    -.0015397    .0020023
                 _cons |   1.65e-18   2.63e-18     0.63   0.534    -3.70e-18    7.01e-18
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 41)

Linear regression                               Number of obs     =        330
                                                F(2, 33)          =       4.19
                                                Prob > F          =     0.0239
                                                R-squared         =     0.0375
                                                Root MSE          =     .28588

                                             (Std. err. adjusted for 34 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1989657   .1254597    -1.59   0.122    -.4542153    .0562839
diff_area_multi_lag_bef |   .2533393    .126186     2.01   0.053    -.0033879    .5100666
                  _cons |   6.36e-19   1.50e-18     0.42   0.674    -2.42e-18    3.69e-18
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 41)

Linear regression                               Number of obs     =        330
                                                F(13, 33)         =      12.50
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3058
                                                Root MSE          =     .24698

                                             (Std. err. adjusted for 34 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1292696   .1162382    -1.11   0.274     -.365758    .1072188
diff_area_multi_lag_bef |  -.0718688    .115789    -0.62   0.539    -.3074433    .1637057
  diff_b_area_multi_bef |    1.31774   .2409224     5.47   0.000     .8275798      1.8079
 diff_b_area_single_bef |   .5831345   .5487182     1.06   0.296    -.5332411     1.69951
         pop_dens_mdiff |   5.136891   7.349878     0.70   0.490    -9.816549    20.09033
     floorarea_pc_mdiff |   .0004696   .0008381     0.56   0.579    -.0012354    .0021747
        diff_voters_bef |  -.7264335   .8021965    -0.91   0.372    -2.358515    .9056475
         diff_highq_bef |   1.351036   .9334578     1.45   0.157     -.548098     3.25017
        diff_highed_bef |   .4675753   .7724562     0.61   0.549    -1.103999    2.039149
           diff_own_bef |  -.0692032   .2471839    -0.28   0.781    -.5721025    .4336962
            diff_em_bef |   .1263714   .2788147     0.45   0.653    -.4408814    .6936241
       diff_retired_bef |   .3751333   .8594171     0.44   0.665    -1.373364    2.123631
    diff_child_7_15_bef |   .8667334   1.112747     0.78   0.442    -1.397168    3.130635
                  _cons |   2.32e-18   4.92e-18     0.47   0.641    -7.69e-18    1.23e-17
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_bel_med_cl_bl_area_multi.gph saved
area_singleall
(sum of wgt is 765)

Linear regression                               Number of obs     =     15,656
                                                F(1, 285)         =       2.21
                                                Prob > F          =     0.1378
                                                R-squared         =     0.0050
                                                Root MSE          =     .14923

                                 (Std. err. adjusted for 286 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0912082   .0612907    -1.49   0.138     -.211848    .0294316
       _cons |   3.14e-19   3.46e-19     0.91   0.365    -3.68e-19    9.96e-19
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 758.8432772065333)

Linear regression                               Number of obs     =     14,920
                                                F(7, 285)         =      42.55
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1454
                                                Root MSE          =     .13887

                                        (Std. err. adjusted for 286 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_sin~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0514177   .0421328    -1.22   0.223    -.1343487    .0315133
     diff_highq_bef |   .7479718   .2896742     2.58   0.010     .1777994    1.318144
    diff_highed_bef |   .7341134   .2185799     3.36   0.001     .3038776    1.164349
       diff_own_bef |  -.1302157   .0637248    -2.04   0.042    -.2556467   -.0047848
        diff_em_bef |   .3850673   .0585295     6.58   0.000     .2698624    .5002723
   diff_retired_bef |  -.5055837   .1742123    -2.90   0.004    -.8484897   -.1626776
diff_child_7_15_bef |  -.3801737   .2427254    -1.57   0.118    -.8579355    .0975882
              _cons |    .000122   .0000467     2.61   0.009       .00003    .0002139
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 765)

Linear regression                               Number of obs     =     15,656
                                                F(2, 285)         =      24.78
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0352
                                                Root MSE          =     .14695

                                    (Std. err. adjusted for 286 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.0946482   .0636498    -1.49   0.138    -.2199316    .0306351
diff_voters_bef |   1.031893   .1534765     6.72   0.000     .7298018    1.333985
          _cons |   1.35e-19   3.56e-19     0.38   0.705    -5.65e-19    8.35e-19
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 764.041842426751)

Linear regression                               Number of obs     =     15,619
                                                F(5, 285)         =      48.53
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1695
                                                Root MSE          =     .13643

                                           (Std. err. adjusted for 286 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
  diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0645098   .0407042    -1.58   0.114    -.1446288    .0156093
 diff_b_area_multi_bef |   .0161267   .0648091     0.25   0.804    -.1114384    .1436919
diff_b_area_single_bef |   1.281289   .1909524     6.71   0.000     .9054332    1.657145
        pop_dens_mdiff |   .0459473   .0229844     2.00   0.047     .0007066    .0911879
    floorarea_pc_mdiff |  -.0004214   .0001843    -2.29   0.023    -.0007841   -.0000587
                 _cons |   .0000156   8.46e-06     1.85   0.066    -1.04e-06    .0000323
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 765)

Linear regression                               Number of obs     =     15,656
                                                F(2, 285)         =      60.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2174
                                                Root MSE          =     .13235

                                             (Std. err. adjusted for 286 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0445851   .0383739    -1.16   0.246    -.1201172     .030947
diff_area_single_lag_bef |   .4866146   .0446063    10.91   0.000      .398815    .5744141
                   _cons |   4.96e-19   2.79e-19     1.78   0.076    -5.25e-20    1.04e-18
------------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 758.1305741787389)

Linear regression                               Number of obs     =     14,887
                                                F(13, 285)        =      54.26
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2999
                                                Root MSE          =     .12577

                                             (Std. err. adjusted for 286 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0236321   .0294558    -0.80   0.423    -.0816107    .0343464
diff_area_single_lag_bef |    .339887   .0467315     7.27   0.000     .2479044    .4318696
   diff_b_area_multi_bef |   .0046843   .0606434     0.08   0.938    -.1146815      .12405
  diff_b_area_single_bef |   .8607386   .2027177     4.25   0.000     .4617249    1.259752
          pop_dens_mdiff |   .0321372   .0192465     1.67   0.096    -.0057461    .0700205
      floorarea_pc_mdiff |  -.0002983   .0001789    -1.67   0.096    -.0006504    .0000538
         diff_voters_bef |  -.2659088   .2416142    -1.10   0.272    -.7414835    .2096659
          diff_highq_bef |   .4105465   .2786523     1.47   0.142    -.1379312    .9590242
         diff_highed_bef |   .4831209   .1502873     3.21   0.001     .1873071    .7789348
            diff_own_bef |  -.0598073   .0414661    -1.44   0.150    -.1414259    .0218114
             diff_em_bef |   .0002561   .0523793     0.00   0.996    -.1028432    .1033555
        diff_retired_bef |   -.208197   .1382713    -1.51   0.133    -.4803595    .0639655
     diff_child_7_15_bef |   -.410862   .2046745    -2.01   0.046    -.8137274   -.0079965
                   _cons |   .0000123   .0000214     0.58   0.564    -.0000297    .0000544
------------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_all_area_single.gph saved
area_singleclose
(sum of wgt is 369)

Linear regression                               Number of obs     =      9,975
                                                F(1, 189)         =       2.51
                                                Prob > F          =     0.1149
                                                R-squared         =     0.0081
                                                Root MSE          =     .12858

                                 (Std. err. adjusted for 190 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |    -.11162   .0704809    -1.58   0.115    -.2506503    .0274102
       _cons |  -1.56e-19   4.06e-19    -0.38   0.701    -9.56e-19    6.44e-19
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 364.2814034513585)

Linear regression                               Number of obs     =      9,287
                                                F(7, 189)         =      24.28
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1997
                                                Root MSE          =     .11625

                                        (Std. err. adjusted for 190 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_sin~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0477402   .0435504    -1.10   0.274    -.1336474     .038167
     diff_highq_bef |   .8636247   .3077104     2.81   0.006     .2566366    1.470613
    diff_highed_bef |   .9369804    .314549     2.98   0.003     .3165025    1.557458
       diff_own_bef |  -.2368086   .0905184    -2.62   0.010    -.4153649   -.0582524
        diff_em_bef |    .300284   .0787162     3.81   0.000     .1450089    .4555592
   diff_retired_bef |  -.3684198   .2584502    -1.43   0.156    -.8782374    .1413978
diff_child_7_15_bef |   .3088906   .3415266     0.90   0.367    -.3648031    .9825843
              _cons |   .0001413   .0000698     2.03   0.044     3.69e-06    .0002789
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 369)

Linear regression                               Number of obs     =      9,975
                                                F(2, 189)         =      14.27
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0279
                                                Root MSE          =     .12729

                                    (Std. err. adjusted for 190 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.1074616   .0754912    -1.42   0.156    -.2563752     .041452
diff_voters_bef |   .8105196   .2038368     3.98   0.000     .4084321    1.212607
          _cons |  -4.75e-19   3.98e-19    -1.19   0.234    -1.26e-18    3.10e-19
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 368.50803844004)

Linear regression                               Number of obs     =      9,950
                                                F(5, 189)         =      40.83
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1648
                                                Root MSE          =     .11809

                                           (Std. err. adjusted for 190 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
  diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0733548   .0504677    -1.45   0.148    -.1729072    .0261977
 diff_b_area_multi_bef |  -.0080606   .0722283    -0.11   0.911    -.1505378    .1344167
diff_b_area_single_bef |   1.109176   .2263287     4.90   0.000     .6627214    1.555631
        pop_dens_mdiff |   .0208322   .0224917     0.93   0.356    -.0235349    .0651992
    floorarea_pc_mdiff |  -.0001906   .0001787    -1.07   0.287     -.000543    .0001619
                 _cons |   7.07e-06   8.37e-06     0.84   0.399    -9.44e-06    .0000236
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 369)

Linear regression                               Number of obs     =      9,975
                                                F(2, 189)         =      91.86
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3723
                                                Root MSE          =     .10229

                                             (Std. err. adjusted for 190 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0698292    .033831    -2.06   0.040     -.136564   -.0030944
diff_area_single_lag_bef |   .6176092   .0460042    13.43   0.000     .5268615    .7083569
                   _cons |   6.80e-20   3.37e-19     0.20   0.840    -5.96e-19    7.32e-19
------------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 363.8348964368531)

Linear regression                               Number of obs     =      9,263
                                                F(13, 189)        =      59.63
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4335
                                                Root MSE          =      .0979

                                             (Std. err. adjusted for 190 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0409544   .0324437    -1.26   0.208    -.1049526    .0230439
diff_area_single_lag_bef |   .4726374   .0481164     9.82   0.000     .3777232    .5675515
   diff_b_area_multi_bef |  -.0249488    .064874    -0.38   0.701    -.1529189    .1030213
  diff_b_area_single_bef |   .4974288    .136075     3.66   0.000     .2290079    .7658498
          pop_dens_mdiff |   .0144281   .0160702     0.90   0.370    -.0172719    .0461281
      floorarea_pc_mdiff |  -5.53e-06     .00013    -0.04   0.966    -.0002621     .000251
         diff_voters_bef |  -.5119941   .2848437    -1.80   0.074    -1.073875    .0498872
          diff_highq_bef |   .6663329   .2799264     2.38   0.018     .1141515    1.218514
         diff_highed_bef |   .4375163   .2463052     1.78   0.077    -.0483441    .9233767
            diff_own_bef |  -.1244819    .057929    -2.15   0.033    -.2387524   -.0102114
             diff_em_bef |   .0080593    .072777     0.11   0.912    -.1355003    .1516188
        diff_retired_bef |   .1185713   .1911834     0.62   0.536    -.2585562    .4956988
     diff_child_7_15_bef |   .3464354   .2747155     1.26   0.209    -.1954671    .8883378
                   _cons |  -.0000354   .0000256    -1.39   0.167    -.0000859     .000015
------------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_close_area_single.gph saved
area_singlecl_bl
(sum of wgt is 257)

Linear regression                               Number of obs     =      7,193
                                                F(1, 142)         =       0.91
                                                Prob > F          =     0.3412
                                                R-squared         =     0.0032
                                                Root MSE          =     .13038

                                 (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0734765   .0769451    -0.95   0.341    -.2255824    .0786294
       _cons |   2.02e-19   5.44e-19     0.37   0.711    -8.74e-19    1.28e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 253.310140103525)

Linear regression                               Number of obs     =      6,629
                                                F(7, 142)         =      17.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2003
                                                Root MSE          =     .11765

                                        (Std. err. adjusted for 143 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_sin~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0404656   .0648908    -0.62   0.534    -.1687423    .0878112
     diff_highq_bef |   .5239116   .3534181     1.48   0.140    -.1747291    1.222552
    diff_highed_bef |   1.220601    .384671     3.17   0.002     .4601795    1.981023
       diff_own_bef |  -.3108127   .1168478    -2.66   0.009    -.5417987   -.0798266
        diff_em_bef |   .2877203   .0926057     3.11   0.002     .1046562    .4707843
   diff_retired_bef |  -.2716553   .3683253    -0.74   0.462    -.9997647    .4564542
diff_child_7_15_bef |   .8007196   .3972907     2.02   0.046      .015351    1.586088
              _cons |   .0001349   .0000727     1.86   0.065    -8.74e-06    .0002785
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 257)

Linear regression                               Number of obs     =      7,193
                                                F(2, 142)         =       4.94
                                                Prob > F          =     0.0084
                                                R-squared         =     0.0131
                                                Root MSE          =     .12974

                                    (Std. err. adjusted for 143 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.0655716   .0807106    -0.81   0.418    -.2251212    .0939781
diff_voters_bef |   .5856109   .2658985     2.20   0.029     .0599797    1.111242
          _cons |  -9.79e-20   4.83e-19    -0.20   0.840    -1.05e-18    8.58e-19
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 256.5999459769475)

Linear regression                               Number of obs     =      7,173
                                                F(5, 142)         =      26.45
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1477
                                                Root MSE          =     .12068

                                           (Std. err. adjusted for 143 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
  diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0537147   .0630756    -0.85   0.396    -.1784032    .0709738
 diff_b_area_multi_bef |   .0713731   .1001013     0.71   0.477    -.1265083    .2692546
diff_b_area_single_bef |   1.209999   .3063084     3.95   0.000     .6044853    1.815513
        pop_dens_mdiff |    .014549    .021375     0.68   0.497    -.0277054    .0568033
    floorarea_pc_mdiff |  -.0002988   .0002175    -1.37   0.172    -.0007287    .0001311
                 _cons |   8.49e-06   .0000114     0.74   0.458    -.0000141    .0000311
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 257)

Linear regression                               Number of obs     =      7,193
                                                F(2, 142)         =      51.17
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3605
                                                Root MSE          =     .10443

                                             (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0848685   .0495187    -1.71   0.089    -.1827575    .0130206
diff_area_single_lag_bef |   .6070504   .0600559    10.11   0.000     .4883313    .7257694
                   _cons |   4.81e-19   4.34e-19     1.11   0.270    -3.78e-19    1.34e-18
------------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 252.9555406259271)

Linear regression                               Number of obs     =      6,610
                                                F(13, 142)        =      43.36
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4347
                                                Root MSE          =     .09903

                                             (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0689882     .04352    -1.59   0.115     -.155019    .0170426
diff_area_single_lag_bef |   .4548318   .0612964     7.42   0.000     .3336603    .5760033
   diff_b_area_multi_bef |  -.0034507   .0769977    -0.04   0.964    -.1556606    .1487591
  diff_b_area_single_bef |   .5669411   .1754134     3.23   0.002      .220182    .9137002
          pop_dens_mdiff |    .003891   .0146359     0.27   0.791    -.0250415    .0328234
      floorarea_pc_mdiff |  -.0000413   .0001561    -0.26   0.792    -.0003498    .0002673
         diff_voters_bef |  -.7096158   .3226726    -2.20   0.029    -1.347479   -.0717531
          diff_highq_bef |   .6410869   .3582416     1.79   0.076     -.067089    1.349263
         diff_highed_bef |   .5345905   .3112904     1.72   0.088    -.0807717    1.149953
            diff_own_bef |  -.1694639    .075758    -2.24   0.027    -.3192232   -.0197046
             diff_em_bef |   .0049269   .0878781     0.06   0.955    -.1687916    .1786453
        diff_retired_bef |   .1534018   .2386363     0.64   0.521    -.3183372    .6251407
     diff_child_7_15_bef |   .6722886   .3266596     2.06   0.041     .0265444    1.318033
                   _cons |  -.0000656   .0000383    -1.71   0.089    -.0001413    .0000102
------------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_cl_bl_area_single.gph saved
area_singleab_med
(sum of wgt is 389)

Linear regression                               Number of obs     =     12,912
                                                F(1, 144)         =       0.22
                                                Prob > F          =     0.6390
                                                R-squared         =     0.0001
                                                Root MSE          =      .0843

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   .0138583   .0294794     0.47   0.639    -.0444099    .0721265
       _cons |   5.59e-20   2.62e-19     0.21   0.831    -4.62e-19    5.74e-19
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 383.2932772065334)

Linear regression                               Number of obs     =     12,182
                                                F(7, 144)         =      48.54
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1409
                                                Root MSE          =     .07869

                                        (Std. err. adjusted for 145 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_sin~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0037155   .0255692    -0.15   0.885     -.054255     .046824
     diff_highq_bef |   1.147622   .2145744     5.35   0.000     .7234997    1.571745
    diff_highed_bef |   .2391794   .2076323     1.15   0.251    -.1712215    .6495802
       diff_own_bef |  -.0259958   .0329998    -0.79   0.432    -.0912223    .0392307
        diff_em_bef |   .1137019   .0403778     2.82   0.006     .0338922    .1935115
   diff_retired_bef |  -.4041017   .1161406    -3.48   0.001    -.6336623    -.174541
diff_child_7_15_bef |   .1027392   .2197487     0.47   0.641    -.3316106    .5370889
              _cons |   .0001662   .0000631     2.64   0.009     .0000416    .0002909
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 389)

Linear regression                               Number of obs     =     12,912
                                                F(2, 144)         =      38.30
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0624
                                                Root MSE          =     .08164

                                    (Std. err. adjusted for 145 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.0033277   .0264888    -0.13   0.900    -.0556847    .0490294
diff_voters_bef |   1.287448   .1498023     8.59   0.000     .9913522    1.583543
          _cons |   3.63e-20   2.65e-19     0.14   0.891    -4.88e-19    5.61e-19
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 388.241842426751)

Linear regression                               Number of obs     =     12,878
                                                F(5, 144)         =      80.51
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1110
                                                Root MSE          =     .07957

                                           (Std. err. adjusted for 145 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
  diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |   .0005578   .0254113     0.02   0.983    -.0496695    .0507851
 diff_b_area_multi_bef |   -.040626   .0469551    -0.87   0.388    -.1334362    .0521842
diff_b_area_single_bef |   .8187908     .06767    12.10   0.000      .685036    .9525456
        pop_dens_mdiff |  -.0083179    .011112    -0.75   0.455    -.0302816    .0136459
    floorarea_pc_mdiff |  -.0002977   .0000838    -3.55   0.001    -.0004633   -.0001321
                 _cons |   .0000344   .0000141     2.44   0.016     6.52e-06    .0000623
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 389)

Linear regression                               Number of obs     =     12,912
                                                F(2, 144)         =     260.11
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3642
                                                Root MSE          =     .06723

                                             (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |   .0066017   .0168937     0.39   0.697      -.02679    .0399933
diff_area_single_lag_bef |   .6243847     .02738    22.80   0.000      .570266    .6785033
                   _cons |  -1.90e-20   1.79e-19    -0.11   0.915    -3.72e-19    3.34e-19
------------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 382.5805741787389)

Linear regression                               Number of obs     =     12,149
                                                F(13, 144)        =     129.58
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3951
                                                Root MSE          =      .0661

                                             (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |   .0023706   .0164297     0.14   0.885     -.030104    .0348452
diff_area_single_lag_bef |   .5341083   .0314598    16.98   0.000     .4719257    .5962909
   diff_b_area_multi_bef |   .0679798   .0351642     1.93   0.055    -.0015249    .1374845
  diff_b_area_single_bef |   .3533765   .0603638     5.85   0.000     .2340629    .4726901
          pop_dens_mdiff |   .0025022    .006264     0.40   0.690    -.0098791    .0148834
      floorarea_pc_mdiff |  -.0001633   .0000524    -3.12   0.002    -.0002669   -.0000598
         diff_voters_bef |  -.5055437   .1668752    -3.03   0.003    -.8353851   -.1757024
          diff_highq_bef |    .780756   .1847779     4.23   0.000     .4155286    1.145983
         diff_highed_bef |   .1485999   .1384383     1.07   0.285    -.1250338    .4222335
            diff_own_bef |   .0141205   .0232982     0.61   0.545      -.03193    .0601711
             diff_em_bef |   .0445491   .0271339     1.64   0.103    -.0090832    .0981813
        diff_retired_bef |  -.1004151   .0799382    -1.26   0.211    -.2584189    .0575886
     diff_child_7_15_bef |    -.07701    .148826    -0.52   0.606    -.3711758    .2171558
                   _cons |   .0000365   .0000203     1.79   0.075    -3.76e-06    .0000767
------------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_ab_med_area_single.gph saved
area_singlebel_med
(sum of wgt is 380)

Linear regression                               Number of obs     =      2,748
                                                F(1, 145)         =       2.46
                                                Prob > F          =     0.1193
                                                R-squared         =     0.0078
                                                Root MSE          =     .19367

                                 (Std. err. adjusted for 146 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1159446   .0739928    -1.57   0.119    -.2621884    .0302993
       _cons |  -2.51e-20   7.13e-19    -0.04   0.972    -1.43e-18    1.38e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 379.55)

Linear regression                               Number of obs     =      2,742
                                                F(7, 145)         =      31.79
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1542
                                                Root MSE          =     .17911

                                        (Std. err. adjusted for 146 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_sin~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0588545   .0499055    -1.18   0.240    -.1574906    .0397817
     diff_highq_bef |   .7326735   .3410192     2.15   0.033     .0586628    1.406684
    diff_highed_bef |   .8142073   .2579265     3.16   0.002      .304426    1.323989
       diff_own_bef |  -.1584509   .0816616    -1.94   0.054    -.3198517      .00295
        diff_em_bef |   .4406094   .0684535     6.44   0.000     .3053139    .5759049
   diff_retired_bef |  -.4841796   .2173627    -2.23   0.027    -.9137881    -.054571
diff_child_7_15_bef |  -.5074358   .2953006    -1.72   0.088    -1.091086     .076214
              _cons |   .0000116     .00002     0.58   0.564    -.0000279    .0000511
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 380)

Linear regression                               Number of obs     =      2,748
                                                F(2, 145)         =      14.50
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0321
                                                Root MSE          =     .19131

                                    (Std. err. adjusted for 146 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.1168779   .0769429    -1.52   0.131    -.2689524    .0351966
diff_voters_bef |   .9565141   .1916799     4.99   0.000     .5776666    1.335362
          _cons |  -4.17e-19   7.09e-19    -0.59   0.557    -1.82e-18    9.84e-19
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 379.8)

Linear regression                               Number of obs     =      2,745
                                                F(5, 145)         =      30.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1876
                                                Root MSE          =     .17542

                                           (Std. err. adjusted for 146 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
  diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0752506   .0479922    -1.57   0.119    -.1701053     .019604
 diff_b_area_multi_bef |   .0449776    .086462     0.52   0.604    -.1259111    .2158664
diff_b_area_single_bef |   1.436286   .2916594     4.92   0.000     .8598335    2.012739
        pop_dens_mdiff |   .2830463   .2009939     1.41   0.161    -.1142099    .6803026
    floorarea_pc_mdiff |  -.0003549   .0005211    -0.68   0.497    -.0013848    .0006751
                 _cons |   6.22e-06   .0000153     0.41   0.685    -.0000241    .0000365
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 380)

Linear regression                               Number of obs     =      2,748
                                                F(2, 145)         =      39.22
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1937
                                                Root MSE          =     .17461

                                             (Std. err. adjusted for 146 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0605217   .0482301    -1.25   0.212    -.1558465     .034803
diff_area_single_lag_bef |   .4576437   .0529794     8.64   0.000     .3529321    .5623552
                   _cons |   8.14e-20   5.62e-19     0.14   0.885    -1.03e-18    1.19e-18
------------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 379.55)

Linear regression                               Number of obs     =      2,742
                                                F(13, 145)        =      34.47
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2934
                                                Root MSE          =     .16389

                                             (Std. err. adjusted for 146 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0314919   .0368213    -0.86   0.394    -.1042676    .0412838
diff_area_single_lag_bef |   .2954323   .0547401     5.40   0.000     .1872408    .4036238
   diff_b_area_multi_bef |   .0064348   .0806719     0.08   0.937      -.15301    .1658796
  diff_b_area_single_bef |   1.017559   .3142902     3.24   0.001     .3963772    1.638741
          pop_dens_mdiff |   .2436178    .149628     1.63   0.106    -.0521159    .5393514
      floorarea_pc_mdiff |  -.0003025   .0005224    -0.58   0.563    -.0013349    .0007299
         diff_voters_bef |    -.22809   .2658273    -0.86   0.392    -.7534869    .2973069
          diff_highq_bef |   .4000197   .3234731     1.24   0.218    -.2393118    1.039351
         diff_highed_bef |   .5092737   .1831683     2.78   0.006     .1472489    .8712985
            diff_own_bef |  -.0881202   .0550999    -1.60   0.112     -.197023    .0207825
             diff_em_bef |  -.0176653   .0688845    -0.26   0.798    -.1538127    .1184821
        diff_retired_bef |  -.1888276   .1794622    -1.05   0.294    -.5435275    .1658722
     diff_child_7_15_bef |  -.4270265   .2460668    -1.74   0.085    -.9133675    .0593145
                   _cons |   3.11e-06   .0000177     0.18   0.861    -.0000318    .0000381
------------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_bel_med_area_single.gph saved
area_singleab_med_c
(sum of wgt is 158)

Linear regression                               Number of obs     =      6,481
                                                F(1, 84)          =       0.11
                                                Prob > F          =     0.7391
                                                R-squared         =     0.0001
                                                Root MSE          =     .07945

                                  (Std. err. adjusted for 85 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0138961   .0415878    -0.33   0.739     -.096598    .0688058
       _cons |   1.01e-19   2.89e-19     0.35   0.728    -4.74e-19    6.76e-19
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 154.310140103525)

Linear regression                               Number of obs     =      5,917
                                                F(7, 84)          =      27.93
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1629
                                                Root MSE          =     .07351

                                         (Std. err. adjusted for 85 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_sin~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0317673   .0373901    -0.85   0.398    -.1061216     .042587
     diff_highq_bef |   .9977752   .2333291     4.28   0.000     .5337746    1.461776
    diff_highed_bef |   .3243504   .2672029     1.21   0.228    -.2070119    .8557126
       diff_own_bef |  -.0611991   .0561087    -1.09   0.279    -.1727774    .0503792
        diff_em_bef |   .0986568   .0607664     1.62   0.108    -.0221838    .2194975
   diff_retired_bef |  -.4220868   .1711202    -2.47   0.016    -.7623781   -.0817954
diff_child_7_15_bef |   .4467274   .2391978     1.87   0.065    -.0289437    .9223985
              _cons |   .0002237   .0000989     2.26   0.026     .0000271    .0004203
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 158)

Linear regression                               Number of obs     =      6,481
                                                F(2, 84)          =      20.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0564
                                                Root MSE          =     .07719

                                     (Std. err. adjusted for 85 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.0241951   .0404825    -0.60   0.552    -.1046991    .0563088
diff_voters_bef |   1.177895   .1850657     6.36   0.000     .8098713    1.545918
          _cons |   9.46e-20   3.71e-19     0.25   0.800    -6.44e-19    8.33e-19
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 157.5999459769476)

Linear regression                               Number of obs     =      6,461
                                                F(5, 84)          =      59.93
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1454
                                                Root MSE          =     .07356

                                            (Std. err. adjusted for 85 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
  diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0437061   .0379619    -1.15   0.253    -.1191976    .0317853
 diff_b_area_multi_bef |  -.0374599   .0459567    -0.82   0.417    -.1288497      .05393
diff_b_area_single_bef |   .8883805   .0690287    12.87   0.000     .7511095    1.025652
        pop_dens_mdiff |  -.0005442   .0088524    -0.06   0.951    -.0181481    .0170597
    floorarea_pc_mdiff |  -.0002744   .0000476    -5.77   0.000     -.000369   -.0001798
                 _cons |   .0000375   .0000155     2.41   0.018     6.60e-06    .0000684
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 158)

Linear regression                               Number of obs     =      6,481
                                                F(2, 84)          =     135.87
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4019
                                                Root MSE          =     .06145

                                              (Std. err. adjusted for 85 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0077667   .0232637    -0.33   0.739    -.0540291    .0384957
diff_area_single_lag_bef |   .6306535    .038531    16.37   0.000     .5540303    .7072766
                   _cons |   1.14e-19   1.91e-19     0.60   0.551    -2.66e-19    4.94e-19
------------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 153.9555406259271)

Linear regression                               Number of obs     =      5,898
                                                F(13, 84)         =      72.79
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4417
                                                Root MSE          =     .06013

                                              (Std. err. adjusted for 85 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0183266   .0244623    -0.75   0.456    -.0669726    .0303193
diff_area_single_lag_bef |   .5276057   .0451406    11.69   0.000     .4378387    .6173727
   diff_b_area_multi_bef |   .0758738    .047611     1.59   0.115    -.0188059    .1705535
  diff_b_area_single_bef |    .386769   .0830344     4.66   0.000     .2216461    .5518919
          pop_dens_mdiff |  -.0004964   .0077506    -0.06   0.949    -.0159093    .0149166
      floorarea_pc_mdiff |  -.0001668   .0000511    -3.26   0.002    -.0002686   -.0000651
         diff_voters_bef |  -.7881897   .2443541    -3.23   0.002    -1.274115   -.3022647
          diff_highq_bef |   .8642463   .2303564     3.75   0.000     .4061574    1.322335
         diff_highed_bef |   .1427283   .1846591     0.77   0.442    -.2244865    .5099431
            diff_own_bef |  -.0310515   .0346906    -0.90   0.373    -.1000376    .0379345
             diff_em_bef |   .0601364    .035835     1.68   0.097    -.0111254    .1313983
        diff_retired_bef |   -.136605   .1085232    -1.26   0.212    -.3524153    .0792053
     diff_child_7_15_bef |   .0946442   .1947999     0.49   0.628    -.2927367    .4820251
                   _cons |   .0000291   .0000391     0.74   0.459    -.0000487    .0001069
------------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_ab_med_c_area_single.gph saved
area_singlebel_med_c
(sum of wgt is 99)

Linear regression                               Number of obs     =        712
                                                F(1, 60)          =       0.83
                                                Prob > F          =     0.3656
                                                R-squared         =     0.0052
                                                Root MSE          =     .18466

                                  (Std. err. adjusted for 61 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0978012   .1072727    -0.91   0.366    -.3123787    .1167762
       _cons |   9.21e-20   1.10e-18     0.08   0.934    -2.11e-18    2.30e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 99)

Linear regression                               Number of obs     =        712
                                                F(7, 60)          =      10.63
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2313
                                                Root MSE          =     .16302

                                         (Std. err. adjusted for 61 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_sin~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0431865   .0902726    -0.48   0.634    -.2237585    .1373856
     diff_highq_bef |   .5663251   .4456784     1.27   0.209    -.3251645    1.457815
    diff_highed_bef |   1.387011   .4836537     2.87   0.006     .4195598    2.354463
       diff_own_bef |  -.4541958   .1639491    -2.77   0.007    -.7821429   -.1262487
        diff_em_bef |   .3373579   .1203515     2.80   0.007     .0966192    .5780967
   diff_retired_bef |  -.1247389   .5002054    -0.25   0.804    -1.125299    .8758208
diff_child_7_15_bef |   .9944071   .5465103     1.82   0.074    -.0987762     2.08759
              _cons |  -1.92e-19   1.81e-18    -0.11   0.916    -3.81e-18    3.42e-18
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 99)

Linear regression                               Number of obs     =        712
                                                F(2, 60)          =       1.45
                                                Prob > F          =     0.2418
                                                R-squared         =     0.0073
                                                Root MSE          =     .18459

                                     (Std. err. adjusted for 61 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |   -.091201    .113533    -0.80   0.425    -.3183008    .1358988
diff_voters_bef |   .2923118   .3806632     0.77   0.446    -.4691279    1.053752
          _cons |  -3.22e-19   1.62e-18    -0.20   0.843    -3.57e-18    2.92e-18
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 99)

Linear regression                               Number of obs     =        712
                                                F(5, 60)          =       8.41
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1574
                                                Root MSE          =     .17043

                                            (Std. err. adjusted for 61 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
  diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0541852   .0823503    -0.66   0.513    -.2189104    .1105399
 diff_b_area_multi_bef |    .090959   .1802833     0.50   0.616    -.2696613    .4515794
diff_b_area_single_bef |   1.214302   .6774082     1.79   0.078    -.1407158     2.56932
        pop_dens_mdiff |  -.3133164   2.233937    -0.14   0.889    -4.781855    4.155222
    floorarea_pc_mdiff |   .0003875   .0011239     0.34   0.731    -.0018606    .0026356
                 _cons |  -7.15e-19   2.04e-18    -0.35   0.727    -4.79e-18    3.36e-18
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 99)

Linear regression                               Number of obs     =        712
                                                F(2, 60)          =      29.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3504
                                                Root MSE          =     .14933

                                              (Std. err. adjusted for 61 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.1160515   .0695822    -1.67   0.101    -.2552366    .0231335
diff_area_single_lag_bef |   .6004268   .0780417     7.69   0.000     .4443203    .7565334
                   _cons |   3.35e-19   9.74e-19     0.34   0.732    -1.61e-18    2.28e-18
------------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 99)

Linear regression                               Number of obs     =        712
                                                F(13, 60)         =      28.08
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4479
                                                Root MSE          =     .13875

                                              (Std. err. adjusted for 61 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0867448   .0618577    -1.40   0.166    -.2104785    .0369889
diff_area_single_lag_bef |   .4185504    .081615     5.13   0.000      .255296    .5818048
   diff_b_area_multi_bef |  -.0648769   .1326875    -0.49   0.627    -.3302915    .2005376
  diff_b_area_single_bef |   .4443563   .4128322     1.08   0.286    -.3814312    1.270144
          pop_dens_mdiff |  -.8237778     1.3944    -0.59   0.557    -3.612994    1.965438
      floorarea_pc_mdiff |   .0007443    .000811     0.92   0.362    -.0008779    .0023664
         diff_voters_bef |  -.6469302   .3860883    -1.68   0.099    -1.419222    .1253614
          diff_highq_bef |   .7046014   .4291783     1.64   0.106    -.1538831    1.563086
         diff_highed_bef |   .6330996   .3815055     1.66   0.102    -.1300251    1.396224
            diff_own_bef |  -.2759776   .1200456    -2.30   0.025    -.5161046   -.0358506
             diff_em_bef |  -.0401136   .1274568    -0.31   0.754    -.2950652     .214838
        diff_retired_bef |   .3259608   .3346497     0.97   0.334    -.3434383      .99536
     diff_child_7_15_bef |    .987465    .434003     2.28   0.026     .1193297      1.8556
                   _cons |   1.67e-18   2.02e-18     0.82   0.413    -2.38e-18    5.71e-18
------------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_bel_med_c_area_single.gph saved
area_singleab_med_cl_bl
(sum of wgt is 158)

Linear regression                               Number of obs     =      6,481
                                                F(1, 84)          =       0.11
                                                Prob > F          =     0.7391
                                                R-squared         =     0.0001
                                                Root MSE          =     .07945

                                  (Std. err. adjusted for 85 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0138961   .0415878    -0.33   0.739     -.096598    .0688058
       _cons |   1.01e-19   2.89e-19     0.35   0.728    -4.74e-19    6.76e-19
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 154.310140103525)

Linear regression                               Number of obs     =      5,917
                                                F(7, 84)          =      27.93
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1629
                                                Root MSE          =     .07351

                                         (Std. err. adjusted for 85 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_sin~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0317673   .0373901    -0.85   0.398    -.1061216     .042587
     diff_highq_bef |   .9977752   .2333291     4.28   0.000     .5337746    1.461776
    diff_highed_bef |   .3243504   .2672029     1.21   0.228    -.2070119    .8557126
       diff_own_bef |  -.0611991   .0561087    -1.09   0.279    -.1727774    .0503792
        diff_em_bef |   .0986568   .0607664     1.62   0.108    -.0221838    .2194975
   diff_retired_bef |  -.4220868   .1711202    -2.47   0.016    -.7623781   -.0817954
diff_child_7_15_bef |   .4467274   .2391978     1.87   0.065    -.0289437    .9223985
              _cons |   .0002237   .0000989     2.26   0.026     .0000271    .0004203
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 158)

Linear regression                               Number of obs     =      6,481
                                                F(2, 84)          =      20.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0564
                                                Root MSE          =     .07719

                                     (Std. err. adjusted for 85 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.0241951   .0404825    -0.60   0.552    -.1046991    .0563088
diff_voters_bef |   1.177895   .1850657     6.36   0.000     .8098713    1.545918
          _cons |   9.46e-20   3.71e-19     0.25   0.800    -6.44e-19    8.33e-19
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 157.5999459769476)

Linear regression                               Number of obs     =      6,461
                                                F(5, 84)          =      59.93
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1454
                                                Root MSE          =     .07356

                                            (Std. err. adjusted for 85 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
  diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0437061   .0379619    -1.15   0.253    -.1191976    .0317853
 diff_b_area_multi_bef |  -.0374599   .0459567    -0.82   0.417    -.1288497      .05393
diff_b_area_single_bef |   .8883805   .0690287    12.87   0.000     .7511095    1.025652
        pop_dens_mdiff |  -.0005442   .0088524    -0.06   0.951    -.0181481    .0170597
    floorarea_pc_mdiff |  -.0002744   .0000476    -5.77   0.000     -.000369   -.0001798
                 _cons |   .0000375   .0000155     2.41   0.018     6.60e-06    .0000684
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 158)

Linear regression                               Number of obs     =      6,481
                                                F(2, 84)          =     135.87
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4019
                                                Root MSE          =     .06145

                                              (Std. err. adjusted for 85 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0077667   .0232637    -0.33   0.739    -.0540291    .0384957
diff_area_single_lag_bef |   .6306535    .038531    16.37   0.000     .5540303    .7072766
                   _cons |   1.14e-19   1.91e-19     0.60   0.551    -2.66e-19    4.94e-19
------------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 153.9555406259271)

Linear regression                               Number of obs     =      5,898
                                                F(13, 84)         =      72.79
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4417
                                                Root MSE          =     .06013

                                              (Std. err. adjusted for 85 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0183266   .0244623    -0.75   0.456    -.0669726    .0303193
diff_area_single_lag_bef |   .5276057   .0451406    11.69   0.000     .4378387    .6173727
   diff_b_area_multi_bef |   .0758738    .047611     1.59   0.115    -.0188059    .1705535
  diff_b_area_single_bef |    .386769   .0830344     4.66   0.000     .2216461    .5518919
          pop_dens_mdiff |  -.0004964   .0077506    -0.06   0.949    -.0159093    .0149166
      floorarea_pc_mdiff |  -.0001668   .0000511    -3.26   0.002    -.0002686   -.0000651
         diff_voters_bef |  -.7881897   .2443541    -3.23   0.002    -1.274115   -.3022647
          diff_highq_bef |   .8642463   .2303564     3.75   0.000     .4061574    1.322335
         diff_highed_bef |   .1427283   .1846591     0.77   0.442    -.2244865    .5099431
            diff_own_bef |  -.0310515   .0346906    -0.90   0.373    -.1000376    .0379345
             diff_em_bef |   .0601364    .035835     1.68   0.097    -.0111254    .1313983
        diff_retired_bef |   -.136605   .1085232    -1.26   0.212    -.3524153    .0792053
     diff_child_7_15_bef |   .0946442   .1947999     0.49   0.628    -.2927367    .4820251
                   _cons |   .0000291   .0000391     0.74   0.459    -.0000487    .0001069
------------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_ab_med_cl_bl_area_single.gph saved
area_singlebel_med_cl_bl
(sum of wgt is 99)

Linear regression                               Number of obs     =        712
                                                F(1, 60)          =       0.83
                                                Prob > F          =     0.3656
                                                R-squared         =     0.0052
                                                Root MSE          =     .18466

                                  (Std. err. adjusted for 61 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0978012   .1072727    -0.91   0.366    -.3123787    .1167762
       _cons |   9.21e-20   1.10e-18     0.08   0.934    -2.11e-18    2.30e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 99)

Linear regression                               Number of obs     =        712
                                                F(7, 60)          =      10.63
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2313
                                                Root MSE          =     .16302

                                         (Std. err. adjusted for 61 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_sin~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0431865   .0902726    -0.48   0.634    -.2237585    .1373856
     diff_highq_bef |   .5663251   .4456784     1.27   0.209    -.3251645    1.457815
    diff_highed_bef |   1.387011   .4836537     2.87   0.006     .4195598    2.354463
       diff_own_bef |  -.4541958   .1639491    -2.77   0.007    -.7821429   -.1262487
        diff_em_bef |   .3373579   .1203515     2.80   0.007     .0966192    .5780967
   diff_retired_bef |  -.1247389   .5002054    -0.25   0.804    -1.125299    .8758208
diff_child_7_15_bef |   .9944071   .5465103     1.82   0.074    -.0987762     2.08759
              _cons |  -1.92e-19   1.81e-18    -0.11   0.916    -3.81e-18    3.42e-18
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 99)

Linear regression                               Number of obs     =        712
                                                F(2, 60)          =       1.45
                                                Prob > F          =     0.2418
                                                R-squared         =     0.0073
                                                Root MSE          =     .18459

                                     (Std. err. adjusted for 61 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |   -.091201    .113533    -0.80   0.425    -.3183008    .1358988
diff_voters_bef |   .2923118   .3806632     0.77   0.446    -.4691279    1.053752
          _cons |  -3.22e-19   1.62e-18    -0.20   0.843    -3.57e-18    2.92e-18
---------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 99)

Linear regression                               Number of obs     =        712
                                                F(5, 60)          =       8.41
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1574
                                                Root MSE          =     .17043

                                            (Std. err. adjusted for 61 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
  diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0541852   .0823503    -0.66   0.513    -.2189104    .1105399
 diff_b_area_multi_bef |    .090959   .1802833     0.50   0.616    -.2696613    .4515794
diff_b_area_single_bef |   1.214302   .6774082     1.79   0.078    -.1407158     2.56932
        pop_dens_mdiff |  -.3133164   2.233937    -0.14   0.889    -4.781855    4.155222
    floorarea_pc_mdiff |   .0003875   .0011239     0.34   0.731    -.0018606    .0026356
                 _cons |  -7.15e-19   2.04e-18    -0.35   0.727    -4.79e-18    3.36e-18
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 99)

Linear regression                               Number of obs     =        712
                                                F(2, 60)          =      29.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3504
                                                Root MSE          =     .14933

                                              (Std. err. adjusted for 61 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.1160515   .0695822    -1.67   0.101    -.2552366    .0231335
diff_area_single_lag_bef |   .6004268   .0780417     7.69   0.000     .4443203    .7565334
                   _cons |   3.35e-19   9.74e-19     0.34   0.732    -1.61e-18    2.28e-18
------------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 99)

Linear regression                               Number of obs     =        712
                                                F(13, 60)         =      28.08
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4479
                                                Root MSE          =     .13875

                                              (Std. err. adjusted for 61 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0867448   .0618577    -1.40   0.166    -.2104785    .0369889
diff_area_single_lag_bef |   .4185504    .081615     5.13   0.000      .255296    .5818048
   diff_b_area_multi_bef |  -.0648769   .1326875    -0.49   0.627    -.3302915    .2005376
  diff_b_area_single_bef |   .4443563   .4128322     1.08   0.286    -.3814312    1.270144
          pop_dens_mdiff |  -.8237778     1.3944    -0.59   0.557    -3.612994    1.965438
      floorarea_pc_mdiff |   .0007443    .000811     0.92   0.362    -.0008779    .0023664
         diff_voters_bef |  -.6469302   .3860883    -1.68   0.099    -1.419222    .1253614
          diff_highq_bef |   .7046014   .4291783     1.64   0.106    -.1538831    1.563086
         diff_highed_bef |   .6330996   .3815055     1.66   0.102    -.1300251    1.396224
            diff_own_bef |  -.2759776   .1200456    -2.30   0.025    -.5161046   -.0358506
             diff_em_bef |  -.0401136   .1274568    -0.31   0.754    -.2950652     .214838
        diff_retired_bef |   .3259608   .3346497     0.97   0.334    -.3434383      .99536
     diff_child_7_15_bef |    .987465    .434003     2.28   0.026     .1193297      1.8556
                   _cons |   1.67e-18   2.02e-18     0.82   0.413    -2.38e-18    5.71e-18
------------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_maj_min_bel_med_cl_bl_area_single.gph saved

. 
. *fig 3
. loc set         ysize(10) xsize(20)  iscale(1.2) scheme(s1mono) xcommon 

. grc1leg  reg_diff_maj_min_all_area_multi.gph  reg_diff_maj_min_close_area_multi.gph reg_diff_maj_min_cl_bl_area_multi.gph, t1("Appr
> oved permits for multi-family homes (sqm)", size(medlarge) ) `set' col(3)    

. graph display,  ysize(10) xsize(25)     

.          graph save temp1, replace
file temp1.gph saved

. grc1leg  reg_diff_maj_min_all_area_single.gph   reg_diff_maj_min_close_area_single.gph reg_diff_maj_min_cl_bl_area_single.gph , t1(
> "Approved permits for single-family homes (sqm)", size(medlarge) ) `set' col(3) 

. graph display,  ysize(10) xsize(25)     

.          graph save temp2, replace
file temp2.gph saved

. 
. grc1leg temp1.gph temp2.gph, rows(2) iscale(0.9) scheme(s1mono) leg(temp2.gph) b1("Estimated effect of residential concentration of
>  majority vs. opposition politicians", size(medium)) ring(2)

. graph display,  ysize(15) xsize(27)              

. graph export "$res\fig3.$e", replace
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\fig3.eps saved as EPS format

. 
. 
. 
.           
. *fig A9.2
. loc set         ysize(12) xsize(20)  iscale(1.1) scheme(s1mono) xcommon 

. 
. grc1leg  reg_diff_maj_min_ab_med_area_multi.gph reg_diff_maj_min_ab_med_c_area_multi.gph  reg_diff_maj_min_ab_med_cl_bl_area_multi.
> gph ,  `set' col(3) ///
>         t1("Above median size", size(medium))

. graph save temp1, replace
file temp1.gph saved

. 
. grc1leg reg_diff_maj_min_bel_med_area_multi.gph  reg_diff_maj_min_bel_med_c_area_multi.gph  reg_diff_maj_min_bel_med_cl_bl_area_mul
> ti.gph , `set' ///
> col(3) t1("Below median size", size(medium))

. graph save temp2, replace
file temp2.gph saved

. 
. grc1leg temp1.gph temp2.gph, rows(2) t1("Approved permits for multi-family homes (sqm)", size(medlarge) ) 

. graph display,  ysize(10) xsize(20)

. graph save temp3, replace
file temp3.gph saved

. 
. 
. grc1leg reg_diff_maj_min_ab_med_area_single.gph reg_diff_maj_min_ab_med_c_area_single.gph reg_diff_maj_min_ab_med_cl_bl_area_single
> .gph  , `set' ///
>  col(3) t1("Above median size", size(medium))

. graph save temp4, replace
file temp4.gph saved

. 
. grc1leg  reg_diff_maj_min_bel_med_area_single.gph  reg_diff_maj_min_bel_med_c_area_single.gph reg_diff_maj_min_bel_med_cl_bl_area_s
> ingle.gph , `set' ///
> col(3) t1("Below median size", size(medium))    

. graph save temp5, replace                       
file temp5.gph saved

. 
. grc1leg temp4.gph temp5.gph, rows(2) t1("Approved permits for single-family homes (sqm)", size(medlarge) )  

. graph display,  ysize(10) xsize(20)     

. graph save temp6, replace
file temp6.gph saved

.          
. 
. grc1leg temp3.gph temp6.gph, rows(2) iscale(0.7) scheme(s1mono)  b1("Estimated effect of residential concentration of majority vs. 
> opposition politicians", size(vsmall)) ring(2) leg(temp3.gph)

. graph display,  ysize(90) xsize(77)               

. graph export "$res\figA92.$e", replace    
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA92.eps saved as EPS format

. 
. 
. 
. 
. 
. ** Testing equality of point estimates in close election samples with different sets of control variables (c.f. Figure 3 in the pap
> er and corresponding text)
. 
. reg diff_area_multi_bef diff_maj_min [iw=w_dist_count] if all==1 

      Source |       SS           df       MS      Number of obs   =       494
-------------+----------------------------------   F(1, 492)       =      4.03
       Model |  .182234593         1  .182234593   Prob > F        =    0.0454
    Residual |  22.2718352       492  .045267958   R-squared       =    0.0081
-------------+----------------------------------   Adj R-squared   =    0.0061
       Total |  22.4540698       493   .04554578   Root MSE        =    .21276

------------------------------------------------------------------------------
diff_a~i_bef | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1995045   .0994335    -2.01   0.045    -.3948712   -.0041378
       _cons |   4.43e-19   .0095726     0.00   1.000    -.0188083    .0188083
------------------------------------------------------------------------------

. est store m1

. reg diff_area_multi_bef diff_maj_min $ecgeo_cont $turnout_cont  $pop_cont  diff_area_multi_lag_bef [iw=w_dist_count] if all==1

      Source |       SS           df       MS      Number of obs   =       487
-------------+----------------------------------   F(13, 473)      =      8.35
       Model |  4.18662104        13  .322047772   Prob > F        =    0.0000
    Residual |   18.252604       473  .038589015   R-squared       =    0.1866
-------------+----------------------------------   Adj R-squared   =    0.1651
       Total |   22.439225       486  .046171245   Root MSE        =    .19634

-----------------------------------------------------------------------------------------
    diff_area_multi_bef | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1027029   .0931874    -1.10   0.271    -.2858154    .0804095
  diff_b_area_multi_bef |   .7286239   .1572192     4.63   0.000     .4196894    1.037558
 diff_b_area_single_bef |  -.0166178    .334193    -0.05   0.960    -.6733043    .6400687
         pop_dens_mdiff |  -.0383978   .1977999    -0.19   0.846     -.427073    .3502774
     floorarea_pc_mdiff |  -.0002229   .0005468    -0.41   0.684    -.0012974    .0008516
        diff_voters_bef |  -.6218636   .6477816    -0.96   0.338    -1.894749     .651022
         diff_highq_bef |   1.516051   .8167908     1.86   0.064    -.0889363    3.121038
        diff_highed_bef |   .4029852   .5594225     0.72   0.472    -.6962757    1.502246
           diff_own_bef |  -.1060948   .1419845    -0.75   0.455    -.3850933    .1729036
            diff_em_bef |  -.0876849    .194006    -0.45   0.651     -.468905    .2935353
       diff_retired_bef |   .8687056    .481452     1.80   0.072    -.0773437    1.814755
    diff_child_7_15_bef |   .0717111   .6504909     0.11   0.912    -1.206498    1.349921
diff_area_multi_lag_bef |   .1204407   .0553451     2.18   0.030     .0116879    .2291934
                  _cons |   .0001086   .0088928     0.01   0.990    -.0173657    .0175828
-----------------------------------------------------------------------------------------

. est store m2

. suest m1 m2, cluster(llkk_year)

Simultaneous results for m1, m2                         Number of obs = 13,163

                                       (Std. err. adjusted for 494 clusters in llkk_year)
-----------------------------------------------------------------------------------------
                        |               Robust
                        | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
------------------------+----------------------------------------------------------------
m1_mean                 |
           diff_maj_min |  -.1995045   .0460048    -4.34   0.000    -.2896722   -.1093368
                  _cons |   4.43e-19   3.63e-19     1.22   0.222    -2.68e-19    1.15e-18
------------------------+----------------------------------------------------------------
m1_lnvar                |
                  _cons |  -3.095156   .0415757   -74.45   0.000    -3.176643   -3.013669
------------------------+----------------------------------------------------------------
m2_mean                 |
           diff_maj_min |  -.1027029   .0414205    -2.48   0.013    -.1838856   -.0215202
  diff_b_area_multi_bef |   .7286239   .1418182     5.14   0.000     .4506654    1.006582
 diff_b_area_single_bef |  -.0166178   .1859791    -0.09   0.929    -.3811302    .3478946
         pop_dens_mdiff |  -.0383978   .0216548    -1.77   0.076    -.0808404    .0040449
     floorarea_pc_mdiff |  -.0002229   .0002138    -1.04   0.297     -.000642    .0001962
        diff_voters_bef |  -.6218636   .4220903    -1.47   0.141    -1.449145    .2054181
         diff_highq_bef |   1.516051   .3797789     3.99   0.000      .771698    2.260404
        diff_highed_bef |   .4029852    .336982     1.20   0.232    -.2574875    1.063458
           diff_own_bef |  -.1060948    .084616    -1.25   0.210    -.2719391    .0597494
            diff_em_bef |  -.0876849    .125847    -0.70   0.486    -.3343404    .1589706
       diff_retired_bef |   .8687056   .4004312     2.17   0.030      .083875    1.653536
    diff_child_7_15_bef |   .0717111   .4825378     0.15   0.882    -.8740456    1.017468
diff_area_multi_lag_bef |   .1204407   .0394063     3.06   0.002     .0432058    .1976755
                  _cons |   .0001086   .0000498     2.18   0.029      .000011    .0002061
------------------------+----------------------------------------------------------------
m2_lnvar                |
                  _cons |  -3.255832   .0498931   -65.26   0.000    -3.353621   -3.158044
-----------------------------------------------------------------------------------------

. test [m1_mean = m2_mean], common

 ( 1)  [m1_mean]diff_maj_min - [m2_mean]diff_maj_min = 0

           chi2(  1) =   10.24
         Prob > chi2 =    0.0014

. 
. reg diff_area_multi_bef diff_maj_min [iw=w_dist_count] if close==1 

      Source |       SS           df       MS      Number of obs   =       263
-------------+----------------------------------   F(1, 261)       =      1.01
       Model |  .037638553         1  .037638553   Prob > F        =    0.3163
    Residual |  9.74415193       261  .037333915   R-squared       =    0.0038
-------------+----------------------------------   Adj R-squared   =    0.0000
       Total |  9.78179049       262  .037335078   Root MSE        =    .19322

------------------------------------------------------------------------------
diff_a~i_bef | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1407419   .1401712    -1.00   0.316    -.4167523    .1352684
       _cons |   5.07e-19   .0119144     0.00   1.000    -.0234607    .0234607
------------------------------------------------------------------------------

. est store m3

. reg diff_area_multi_bef diff_maj_min $ecgeo_cont $turnout_cont  $pop_cont  diff_area_multi_lag_bef [iw=w_dist_count] if close==1

      Source |       SS           df       MS      Number of obs   =       257
-------------+----------------------------------   F(13, 243)      =      4.20
       Model |  1.78596955        13  .137382273   Prob > F        =    0.0000
    Residual |  7.98198573       243  .032847678   R-squared       =    0.1828
-------------+----------------------------------   Adj R-squared   =    0.1422
       Total |  9.76795528       256  .038156075   Root MSE        =    .18091

-----------------------------------------------------------------------------------------
    diff_area_multi_bef | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1141684   .1329887    -0.86   0.391     -.376126    .1477893
  diff_b_area_multi_bef |   .8910845   .2308983     3.86   0.000     .4362668    1.345902
 diff_b_area_single_bef |   .3081398     .45727     0.67   0.501    -.5925789    1.208858
         pop_dens_mdiff |  -.0076988   .2198897    -0.04   0.972    -.4408318    .4254342
     floorarea_pc_mdiff |  -.0004148   .0006289    -0.66   0.510    -.0016536    .0008239
        diff_voters_bef |   .1810978   .9674634     0.19   0.852    -1.724587    2.086783
         diff_highq_bef |   1.202066   1.107913     1.08   0.279    -.9802727    3.384404
        diff_highed_bef |  -.2812484   .8113522    -0.35   0.729    -1.879429    1.316932
           diff_own_bef |  -.1730487   .1969821    -0.88   0.381    -.5610589    .2149616
            diff_em_bef |   .0078492   .2712847     0.03   0.977    -.5265205    .5422189
       diff_retired_bef |   .1521164   .7067328     0.22   0.830    -1.239988    1.544221
    diff_child_7_15_bef |  -.6405997   .9519964    -0.67   0.502    -2.515818    1.234618
diff_area_multi_lag_bef |   .1460165   .0783154     1.86   0.063    -.0082471    .3002802
                  _cons |   .0000855   .0112667     0.01   0.994    -.0221073    .0222784
-----------------------------------------------------------------------------------------

. est store m4

. suest m3 m4, cluster(llkk_year)

Simultaneous results for m3, m4                          Number of obs = 9,010

                                       (Std. err. adjusted for 263 clusters in llkk_year)
-----------------------------------------------------------------------------------------
                        |               Robust
                        | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
------------------------+----------------------------------------------------------------
m3_mean                 |
           diff_maj_min |  -.1407419   .0591908    -2.38   0.017    -.2567537   -.0247302
                  _cons |   5.07e-19   3.67e-19     1.38   0.167    -2.12e-19    1.23e-18
------------------------+----------------------------------------------------------------
m3_lnvar                |
                  _cons |  -3.287853   .0633268   -51.92   0.000    -3.411971   -3.163735
------------------------+----------------------------------------------------------------
m4_mean                 |
           diff_maj_min |  -.1141684   .0536758    -2.13   0.033    -.2193709   -.0089658
  diff_b_area_multi_bef |   .8910845   .1501749     5.93   0.000     .5967471    1.185422
 diff_b_area_single_bef |   .3081398   .1666208     1.85   0.064    -.0184309    .6347105
         pop_dens_mdiff |  -.0076988   .0244576    -0.31   0.753    -.0556349    .0402372
     floorarea_pc_mdiff |  -.0004148   .0002393    -1.73   0.083    -.0008839    .0000542
        diff_voters_bef |   .1810978   .4653844     0.39   0.697    -.7310387    1.093234
         diff_highq_bef |   1.202066   .4460352     2.70   0.007     .3278527    2.076279
        diff_highed_bef |  -.2812484   .3874855    -0.73   0.468    -1.040706    .4782091
           diff_own_bef |  -.1730487   .1162128    -1.49   0.136    -.4008217    .0547243
            diff_em_bef |   .0078492   .1682214     0.05   0.963    -.3218587     .337557
       diff_retired_bef |   .1521164   .3795081     0.40   0.689    -.5917057    .8959386
    diff_child_7_15_bef |  -.6405997   .4889846    -1.31   0.190    -1.598992    .3177925
diff_area_multi_lag_bef |   .1460165   .0506629     2.88   0.004     .0467191     .245314
                  _cons |   .0000855   .0000834     1.03   0.305     -.000078     .000249
------------------------+----------------------------------------------------------------
m4_lnvar                |
                  _cons |  -3.419497   .0692856   -49.35   0.000    -3.555295     -3.2837
-----------------------------------------------------------------------------------------

. test [m3_mean = m4_mean], common

 ( 1)  [m3_mean]diff_maj_min - [m4_mean]diff_maj_min = 0

           chi2(  1) =    0.38
         Prob > chi2 =    0.5394

. 
. reg diff_area_multi_bef diff_maj_min [iw=w_dist_count] if cl_bl==1 

      Source |       SS           df       MS      Number of obs   =       181
-------------+----------------------------------   F(1, 179)       =      1.12
       Model |  .040579833         1  .040579833   Prob > F        =    0.2908
    Residual |  6.46972389       179  .036143709   R-squared       =    0.0062
-------------+----------------------------------   Adj R-squared   =    0.0007
       Total |  6.51030372       180  .036168354   Root MSE        =    .19011

------------------------------------------------------------------------------
diff_a~i_bef | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1736838   .1639157    -1.06   0.291    -.4971394    .1497719
       _cons |   3.42e-19   .0141311     0.00   1.000     -.027885     .027885
------------------------------------------------------------------------------

. est store m5

. reg diff_area_multi_bef diff_maj_min $ecgeo_cont $turnout_cont  $pop_cont diff_area_multi_lag_bef [iw=w_dist_count] if cl_bl==1

      Source |       SS           df       MS      Number of obs   =       176
-------------+----------------------------------   F(13, 162)      =      3.03
       Model |  1.26595479        13  .097381138   Prob > F        =    0.0005
    Residual |  5.23421709       162  .032309982   R-squared       =    0.1948
-------------+----------------------------------   Adj R-squared   =    0.1353
       Total |  6.50017187       175  .037143839   Root MSE        =    .17922

-----------------------------------------------------------------------------------------
    diff_area_multi_bef | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1315321   .1573716    -0.84   0.404    -.4422963    .1792321
  diff_b_area_multi_bef |   1.016347   .2793117     3.64   0.000     .4647863    1.567909
 diff_b_area_single_bef |   .4433438    .544263     0.81   0.417     -.631421    1.518109
         pop_dens_mdiff |  -.0100834   .2338706    -0.04   0.966    -.4719115    .4517446
     floorarea_pc_mdiff |  -.0005445   .0006966    -0.78   0.436    -.0019201    .0008311
        diff_voters_bef |  -.3604125   1.144578    -0.31   0.753    -2.620628    1.899803
         diff_highq_bef |   1.496949   1.331639     1.12   0.263    -1.132661    4.126558
        diff_highed_bef |   .1676078   .9833552     0.17   0.865    -1.774239    2.109455
           diff_own_bef |  -.1223394   .2381262    -0.51   0.608    -.5925709    .3478921
            diff_em_bef |   .0154001   .3233366     0.05   0.962    -.6230978    .6538979
       diff_retired_bef |   .0787559    .850512     0.09   0.926    -1.600764    1.758275
    diff_child_7_15_bef |  -.5003893    1.15216    -0.43   0.665    -2.775578    1.774799
diff_area_multi_lag_bef |   .1048847   .0988192     1.06   0.290    -.0902552    .3000246
                  _cons |   .0001189   .0134738     0.01   0.993     -.026488    .0267258
-----------------------------------------------------------------------------------------

. est store m6

. suest m5 m6, cluster(llkk_year)

Simultaneous results for m5, m6                          Number of obs = 6,538

                                       (Std. err. adjusted for 181 clusters in llkk_year)
-----------------------------------------------------------------------------------------
                        |               Robust
                        | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
------------------------+----------------------------------------------------------------
m5_mean                 |
           diff_maj_min |  -.1736838    .074304    -2.34   0.019    -.3193169   -.0280506
                  _cons |   3.42e-19   5.67e-19     0.60   0.546    -7.69e-19    1.45e-18
------------------------+----------------------------------------------------------------
m5_lnvar                |
                  _cons |  -3.320252   .0782212   -42.45   0.000    -3.473563   -3.166942
------------------------+----------------------------------------------------------------
m6_mean                 |
           diff_maj_min |  -.1315321   .0609128    -2.16   0.031     -.250919   -.0121452
  diff_b_area_multi_bef |   1.016347   .1618303     6.28   0.000     .6991659    1.333529
 diff_b_area_single_bef |   .4433438   .1947252     2.28   0.023     .0616894    .8249982
         pop_dens_mdiff |  -.0100834   .0202972    -0.50   0.619    -.0498652    .0296983
     floorarea_pc_mdiff |  -.0005445   .0002599    -2.10   0.036    -.0010539   -.0000351
        diff_voters_bef |  -.3604125   .5395104    -0.67   0.504    -1.417833    .6970085
         diff_highq_bef |   1.496949   .5380814     2.78   0.005     .4423284    2.551569
        diff_highed_bef |   .1676078   .4785644     0.35   0.726    -.7703611    1.105577
           diff_own_bef |  -.1223394   .1372648    -0.89   0.373    -.3913734    .1466947
            diff_em_bef |   .0154001   .1851924     0.08   0.934    -.3475703    .3783704
       diff_retired_bef |   .0787559   .4352528     0.18   0.856     -.774324    .9318358
    diff_child_7_15_bef |  -.5003893   .6298359    -0.79   0.427    -1.734845    .7340662
diff_area_multi_lag_bef |   .1048847   .0583461     1.80   0.072    -.0094716     .219241
                  _cons |   .0001189    .000127     0.94   0.349      -.00013    .0003677
------------------------+----------------------------------------------------------------
m6_lnvar                |
                  _cons |   -3.43833   .0814831   -42.20   0.000    -3.598034   -3.278626
-----------------------------------------------------------------------------------------

. test [m5_mean = m6_mean], common

 ( 1)  [m5_mean]diff_maj_min - [m6_mean]diff_maj_min = 0

           chi2(  1) =    0.63
         Prob > chi2 =    0.4272

.          
.                 
.          
. *************************         
. ***    Figure 4
. ************************
.     
. foreach treat in  diff_maj_min{
  2. foreach var  in   area_multi area_single  {
  3.         foreach sample in  all close cl_bl  {
  4.  preserve
  5. 
.         local s=0
  6.         matrix C =J(1,3,.)
  7.         local s=`s'+1
  8.         reg diff_`var'_bef `treat'  [pw=w_dist_count ] if `sample' ==1 ,cluster(llkk)
  9.         matrix C[1,1]=_b[ `treat']
 10.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 11.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 12. 
.         svmat C
 13.         ren C1 est_`s'
 14.         ren C2 ci_low_`s'
 15.         ren C3 ci_high_`s'
 16.         gen pos_`s'=4 if est_`s'!=.
 17.         
.         *****
.         matrix C =J(1,3,.)
 18.         local s=`s'+1
 19.         reg diff_`var'_bef `treat' diffvs_maj_min [pw=w_dist_count ] if `sample' ==1 ,  cluster(llkk) 
 20.         matrix C[1,1]=_b[ `treat']
 21.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 22.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 23. 
.         svmat C
 24.         ren C1 est_`s'
 25.         ren C2 ci_low_`s'
 26.         ren C3 ci_high_`s'
 27.         gen pos_`s'=3 if est_`s'!=.
 28.         
.         
.                 *****
.         matrix C =J(1,3,.)
 29.         local s=`s'+1
 30.         areg diff_`var'_bef `treat'  i.majvs_4q  [pw=w_dist_count ] if `sample' ==1 ,  cluster(llkk) abs(llkk_year)
 31.         matrix C[1,1]=_b[ `treat']
 32.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 33.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 34. 
.         svmat C
 35.         ren C1 est_`s'
 36.         ren C2 ci_low_`s'
 37.         ren C3 ci_high_`s'
 38.         gen pos_`s'=2 if est_`s'!=.
 39.         
.         ****
.         local s=`s'+1
 40.         areg diff_`var'_bef `treat'   i.majvs_10q  [pw=w_dist_count ] if `sample' ==1 ,  cluster(llkk) abs(llkk_year)
 41.         matrix C[1,1]=_b[ `treat']
 42.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 43.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 44.         svmat C
 45.         ren C1 est_`s'
 46.         ren C2 ci_low_`s'
 47.         ren C3 ci_high_`s'
 48.         gen pos_`s'=1 if est_`s'!=.
 49.         
. 
. if "`sample'"=="all"  loc t "All elections"
 50. if "`sample'"== "close"  loc t "Close elections"
 51. if "`sample'"=="cl_bl" loc t "Close elections, no dominant bloc"
 52. 
. * top part-yscale
. twoway (scatter  pos_1 est_1  , msize(vlarge)  msymbol(circle)   mcolor(gs1)) ///
>         (rbar ci_low_1 ci_high_1 pos_1 , lwidth(vvthin)  fcolor(gs1) lcolor(gs1) lpattern(solid) horizontal barwidth(.015)) ///
>         (scatter  pos_2 est_2  , msize(vlarge)  msymbol(circle)  mcolor(gs6)) ///
>         (rbar ci_low_2 ci_high_2 pos_2 , lwidth(vvthin)  fcolor(gs6) lcolor(gs6) lpattern(solid) horizontal barwidth(.015)) ///
>         (scatter  pos_3 est_3  , msize(vlarge)  msymbol(circle)  mcolor(gs8)) ///
>         (rbar ci_low_3 ci_high_3 pos_3 , lwidth(vvthin)  fcolor(gs8) lcolor(gs8) lpattern(solid) horizontal barwidth(.015)) ///
>         (scatter  pos_4 est_4  , msize(vlarge)  msymbol(circle)  mcolor(gs10)) ///
>         (rbar ci_low_4 ci_high_4 pos_4 , lwidth(vvthin)  fcolor(gs10) lcolor(gs10) lpattern(solid) horizontal barwidth(.015)) ///
>         ,xline(0, lcolor(gs7) lpattern(dash)) yscale(range(0.5 4.5)) xtitle("") ///
>          ytitle(, size(zero)) ylabel(none)  scale(.7) ysize(10) xsize(20) scheme(s1mono) title("`t'", size(vhuge)) ///
>          legend(on order(1 "Main specification" 3  "Linear control for own voters" ///
>          5 "Quartile control for own voters" 7  "Decile control for own voters") rows(1) size(huge))  xlabel(, angle(horizontal) gr
> id labsize(vlarge)) graphregion(margin(5 5 0 0))
 53. graph save vc_`sample'_`var', replace
 54. restore
 55.         
.                 }
 56.                 }       
 57.                 }                         
(sum of wgt is 494)

Linear regression                               Number of obs     =     13,163
                                                F(1, 228)         =      15.99
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0081
                                                Root MSE          =     .21235

                                 (Std. err. adjusted for 229 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1995045   .0498893    -4.00   0.000    -.2978075   -.1012015
       _cons |   3.88e-19   5.02e-19     0.77   0.441    -6.02e-19    1.38e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 494)

Linear regression                               Number of obs     =     13,163
                                                F(2, 228)         =       8.43
                                                Prob > F          =     0.0003
                                                R-squared         =     0.0093
                                                Root MSE          =     .21223

                                   (Std. err. adjusted for 229 clusters in llkk)
--------------------------------------------------------------------------------
               |               Robust
diff_are~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
  diff_maj_min |  -.1593899   .0584054    -2.73   0.007    -.2744733   -.0443066
diffvs_maj_min |  -.2544398   .2213067    -1.15   0.251    -.6905077     .181628
         _cons |   3.71e-19   4.83e-19     0.77   0.443    -5.80e-19    1.32e-18
--------------------------------------------------------------------------------
(17,426 missing values generated)

Linear regression, absorbing indicators            Number of obs     =  13,163
Absorbed variable: llkk_year                       No. of categories =     494
                                                   F(4, 228)         =    4.84
                                                   Prob > F          =  0.0009
                                                   R-squared         =  0.0082
                                                   Adj R-squared     = -0.0307
                                                   Root MSE          =  0.2165

                                 (Std. err. adjusted for 229 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1916679   .0548278    -3.50   0.001    -.2997019    -.083634
             |
    majvs_4q |
          2  |  -.0002263    .009687    -0.02   0.981    -.0193138    .0188613
          3  |  -.0050599   .0113754    -0.44   0.657    -.0274743    .0173545
          4  |  -.0047577   .0100715    -0.47   0.637    -.0246029    .0150875
             |
       _cons |   .0024179   .0062455     0.39   0.699    -.0098884    .0147243
------------------------------------------------------------------------------
(17,426 missing values generated)

Linear regression, absorbing indicators            Number of obs     =  13,163
Absorbed variable: llkk_year                       No. of categories =     494
                                                   F(10, 228)        =    3.10
                                                   Prob > F          =  0.0010
                                                   R-squared         =  0.0112
                                                   Adj R-squared     = -0.0280
                                                   Root MSE          =  0.2162

                                 (Std. err. adjusted for 229 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1836026   .0548285    -3.35   0.001     -.291638   -.0755673
             |
   majvs_10q |
          2  |  -.0315728   .0169224    -1.87   0.063    -.0649171    .0017714
          3  |  -.0202568   .0180226    -1.12   0.262    -.0557689    .0152553
          4  |  -.0166398   .0164588    -1.01   0.313    -.0490706    .0157909
          5  |  -.0190912   .0163064    -1.17   0.243    -.0512218    .0130393
          6  |  -.0281706   .0158226    -1.78   0.076    -.0593479    .0030067
          7  |  -.0295374   .0196958    -1.50   0.135    -.0683464    .0092717
          8  |    .003852   .0181222     0.21   0.832    -.0318564    .0395605
          9  |  -.0260266    .017902    -1.45   0.147    -.0613011     .009248
         10  |  -.0292562   .0142801    -2.05   0.042     -.057394   -.0011185
             |
       _cons |   .0190334   .0123314     1.54   0.124    -.0052647    .0433315
------------------------------------------------------------------------------
(17,426 missing values generated)
file vc_all_area_multi.gph saved
(sum of wgt is 263)

Linear regression                               Number of obs     =      9,010
                                                F(1, 150)         =       4.83
                                                Prob > F          =     0.0294
                                                R-squared         =     0.0038
                                                Root MSE          =     .19251

                                 (Std. err. adjusted for 151 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1407419    .064008    -2.20   0.029    -.2672156   -.0142682
       _cons |   7.64e-20   5.73e-19     0.13   0.894    -1.06e-18    1.21e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 263)

Linear regression                               Number of obs     =      9,010
                                                F(2, 150)         =       2.46
                                                Prob > F          =     0.0889
                                                R-squared         =     0.0046
                                                Root MSE          =     .19244

                                   (Std. err. adjusted for 151 clusters in llkk)
--------------------------------------------------------------------------------
               |               Robust
diff_are~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
  diff_maj_min |  -.1073086   .0739059    -1.45   0.149    -.2533397    .0387224
diffvs_maj_min |  -.2150472   .3233476    -0.67   0.507    -.8539514     .423857
         _cons |   4.73e-20   4.56e-19     0.10   0.918    -8.54e-19    9.48e-19
--------------------------------------------------------------------------------
(17,426 missing values generated)

Linear regression, absorbing indicators            Number of obs     =   9,010
Absorbed variable: llkk_year                       No. of categories =     263
                                                   F(4, 150)         =    1.70
                                                   Prob > F          =  0.1531
                                                   R-squared         =  0.0043
                                                   Adj R-squared     = -0.0260
                                                   Root MSE          =  0.1954

                                 (Std. err. adjusted for 151 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1312348   .0688562    -1.91   0.059    -.2672881    .0048186
             |
    majvs_4q |
          2  |   .0071795   .0120066     0.60   0.551    -.0165444    .0309033
          3  |  -.0023452   .0119163    -0.20   0.844    -.0258908    .0212004
          4  |  -.0041751    .012916    -0.32   0.747    -.0296959    .0213457
             |
       _cons |  -.0001787   .0075116    -0.02   0.981    -.0150209    .0146635
------------------------------------------------------------------------------
(17,426 missing values generated)

Linear regression, absorbing indicators            Number of obs     =   9,010
Absorbed variable: llkk_year                       No. of categories =     263
                                                   F(10, 150)        =    1.73
                                                   Prob > F          =  0.0786
                                                   R-squared         =  0.0071
                                                   Adj R-squared     = -0.0238
                                                   Root MSE          =  0.1951

                                 (Std. err. adjusted for 151 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1307161   .0680625    -1.92   0.057    -.2652012     .003769
             |
   majvs_10q |
          2  |  -.0173865    .018071    -0.96   0.338    -.0530932    .0183201
          3  |  -.0103117   .0214018    -0.48   0.631    -.0525996    .0319763
          4  |   .0110686   .0214846     0.52   0.607     -.031383    .0535202
          5  |  -.0043319   .0178101    -0.24   0.808    -.0395229    .0308591
          6  |  -.0107245   .0183627    -0.58   0.560    -.0470074    .0255585
          7  |  -.0233411   .0215089    -1.09   0.280    -.0658406    .0191584
          8  |   .0102258   .0206637     0.49   0.621    -.0306037    .0510554
          9  |  -.0107995   .0226764    -0.48   0.635    -.0556059    .0340069
         10  |  -.0217389   .0165205    -1.32   0.190    -.0543819     .010904
             |
       _cons |   .0073974   .0144273     0.51   0.609    -.0211097    .0359044
------------------------------------------------------------------------------
(17,426 missing values generated)
file vc_close_area_multi.gph saved
(sum of wgt is 181)

Linear regression                               Number of obs     =      6,538
                                                F(1, 112)         =       4.93
                                                Prob > F          =     0.0284
                                                R-squared         =     0.0062
                                                Root MSE          =     .18909

                                 (Std. err. adjusted for 113 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1736838   .0782328    -2.22   0.028    -.3286921   -.0186754
       _cons |   2.58e-19   4.44e-19     0.58   0.562    -6.21e-19    1.14e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 181)

Linear regression                               Number of obs     =      6,538
                                                F(2, 112)         =       2.54
                                                Prob > F          =     0.0830
                                                R-squared         =     0.0088
                                                Root MSE          =     .18886

                                   (Std. err. adjusted for 113 clusters in llkk)
--------------------------------------------------------------------------------
               |               Robust
diff_are~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
  diff_maj_min |  -.1096142   .0815693    -1.34   0.182    -.2712334     .052005
diffvs_maj_min |  -.3806098   .3406236    -1.12   0.266    -1.055512    .2942921
         _cons |   1.94e-19   6.68e-19     0.29   0.772    -1.13e-18    1.52e-18
--------------------------------------------------------------------------------
(17,426 missing values generated)

Linear regression, absorbing indicators            Number of obs     =   6,538
Absorbed variable: llkk_year                       No. of categories =     181
                                                   F(4, 112)         =    2.23
                                                   Prob > F          =  0.0703
                                                   R-squared         =  0.0081
                                                   Adj R-squared     = -0.0206
                                                   Root MSE          =  0.1916

                                 (Std. err. adjusted for 113 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1457785   .0825122    -1.77   0.080    -.3092659    .0177089
             |
    majvs_4q |
          2  |   .0061381   .0152905     0.40   0.689    -.0241581    .0364342
          3  |  -.0127751   .0124994    -1.02   0.309     -.037541    .0119908
          4  |  -.0145057   .0135152    -1.07   0.285    -.0412844     .012273
             |
       _cons |   .0050899   .0082473     0.62   0.538    -.0112511     .021431
------------------------------------------------------------------------------
(17,426 missing values generated)

Linear regression, absorbing indicators            Number of obs     =   6,538
Absorbed variable: llkk_year                       No. of categories =     181
                                                   F(10, 112)        =    1.38
                                                   Prob > F          =  0.2009
                                                   R-squared         =  0.0121
                                                   Adj R-squared     = -0.0174
                                                   Root MSE          =  0.1913

                                 (Std. err. adjusted for 113 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1493797   .0801308    -1.86   0.065    -.3081485    .0093892
             |
   majvs_10q |
          2  |  -.0099068   .0194021    -0.51   0.611    -.0483495    .0285359
          3  |  -.0145974   .0232034    -0.63   0.531     -.060572    .0313772
          4  |   .0299654   .0245092     1.22   0.224    -.0185965    .0785272
          5  |  -.0019831   .0201966    -0.10   0.922    -.0420001     .038034
          6  |  -.0176311   .0180128    -0.98   0.330    -.0533212     .018059
          7  |  -.0244105    .020057    -1.22   0.226     -.064151    .0153299
          8  |   -.001094   .0220843    -0.05   0.961    -.0448511    .0426632
          9  |  -.0232404    .020093    -1.16   0.250    -.0630521    .0165714
         10  |  -.0105731   .0166163    -0.64   0.526    -.0434961    .0223499
             |
       _cons |   .0076314   .0135195     0.56   0.574    -.0191558    .0344187
------------------------------------------------------------------------------
(17,426 missing values generated)
file vc_cl_bl_area_multi.gph saved
(sum of wgt is 765)

Linear regression                               Number of obs     =     15,656
                                                F(1, 285)         =       2.21
                                                Prob > F          =     0.1378
                                                R-squared         =     0.0050
                                                Root MSE          =     .14923

                                 (Std. err. adjusted for 286 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0912082   .0612907    -1.49   0.138     -.211848    .0294316
       _cons |   3.14e-19   3.46e-19     0.91   0.365    -3.68e-19    9.96e-19
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 765)

Linear regression                               Number of obs     =     15,656
                                                F(2, 285)         =       1.24
                                                Prob > F          =     0.2896
                                                R-squared         =     0.0064
                                                Root MSE          =     .14913

                                   (Std. err. adjusted for 286 clusters in llkk)
--------------------------------------------------------------------------------
               |               Robust
diff_are~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
  diff_maj_min |  -.0619508   .0539693    -1.15   0.252    -.1681799    .0442783
diffvs_maj_min |  -.1507308   .1425367    -1.06   0.291    -.4312891    .1298274
         _cons |   3.27e-19   3.84e-19     0.85   0.395    -4.28e-19    1.08e-18
--------------------------------------------------------------------------------
(17,426 missing values generated)

Linear regression, absorbing indicators            Number of obs     =  15,656
Absorbed variable: llkk_year                       No. of categories =     765
                                                   F(4, 285)         =    1.69
                                                   Prob > F          =  0.1532
                                                   R-squared         =  0.0063
                                                   Adj R-squared     = -0.0449
                                                   Root MSE          =  0.1529

                                 (Std. err. adjusted for 286 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   -.090458   .0661997    -1.37   0.173    -.2207605    .0398445
             |
    majvs_4q |
          2  |   .0115614   .0076594     1.51   0.132    -.0035149    .0266376
          3  |  -.0035324    .009061    -0.39   0.697    -.0213674    .0143026
          4  |   .0036605   .0089547     0.41   0.683    -.0139652    .0212862
             |
       _cons |  -.0025517   .0050464    -0.51   0.613    -.0124848    .0073813
------------------------------------------------------------------------------
(17,426 missing values generated)

Linear regression, absorbing indicators            Number of obs     =  15,656
Absorbed variable: llkk_year                       No. of categories =     765
                                                   F(10, 285)        =    1.47
                                                   Prob > F          =  0.1499
                                                   R-squared         =  0.0083
                                                   Adj R-squared     = -0.0433
                                                   Root MSE          =  0.1528

                                 (Std. err. adjusted for 286 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0943187   .0662283    -1.42   0.155    -.2246774    .0360399
             |
   majvs_10q |
          2  |   .0034562   .0099628     0.35   0.729    -.0161538    .0230662
          3  |   .0136528   .0110553     1.23   0.218    -.0081075    .0354131
          4  |     .02856   .0131884     2.17   0.031     .0026009    .0545191
          5  |   .0131617   .0107077     1.23   0.220    -.0079146     .034238
          6  |  -.0039259   .0149427    -0.26   0.793     -.033338    .0254862
          7  |   .0057552    .012438     0.46   0.644    -.0187268    .0302372
          8  |   .0135491   .0128065     1.06   0.291    -.0116581    .0387563
          9  |   .0076385   .0124644     0.61   0.540    -.0168954    .0321725
         10  |   .0053614   .0103045     0.52   0.603    -.0149212    .0256439
             |
       _cons |  -.0080066   .0081431    -0.98   0.326    -.0240349    .0080217
------------------------------------------------------------------------------
(17,426 missing values generated)
file vc_all_area_single.gph saved
(sum of wgt is 369)

Linear regression                               Number of obs     =      9,975
                                                F(1, 189)         =       2.51
                                                Prob > F          =     0.1149
                                                R-squared         =     0.0081
                                                Root MSE          =     .12858

                                 (Std. err. adjusted for 190 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |    -.11162   .0704809    -1.58   0.115    -.2506503    .0274102
       _cons |  -1.56e-19   4.06e-19    -0.38   0.701    -9.56e-19    6.44e-19
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 369)

Linear regression                               Number of obs     =      9,975
                                                F(2, 189)         =       1.65
                                                Prob > F          =     0.1943
                                                R-squared         =     0.0081
                                                Root MSE          =     .12859

                                   (Std. err. adjusted for 190 clusters in llkk)
--------------------------------------------------------------------------------
               |               Robust
diff_are~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
  diff_maj_min |  -.1119997   .0617306    -1.81   0.071    -.2337692    .0097698
diffvs_maj_min |   .0019246   .1961074     0.01   0.992     -.384916    .3887651
         _cons |  -1.56e-19   4.60e-19    -0.34   0.735    -1.06e-18    7.51e-19
--------------------------------------------------------------------------------
(17,426 missing values generated)

Linear regression, absorbing indicators            Number of obs     =   9,975
Absorbed variable: llkk_year                       No. of categories =     369
                                                   F(4, 189)         =    0.97
                                                   Prob > F          =  0.4277
                                                   R-squared         =  0.0089
                                                   Adj R-squared     = -0.0295
                                                   Root MSE          =  0.1310

                                 (Std. err. adjusted for 190 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1253887   .0748837    -1.67   0.096    -.2731039    .0223266
             |
    majvs_4q |
          2  |   .0074786   .0072649     1.03   0.305    -.0068521    .0218092
          3  |    .007055   .0094224     0.75   0.455    -.0115315    .0256415
          4  |   .0106899   .0099922     1.07   0.286    -.0090208    .0304005
             |
       _cons |  -.0059584    .005059    -1.18   0.240    -.0159377    .0040209
------------------------------------------------------------------------------
(17,426 missing values generated)

Linear regression, absorbing indicators            Number of obs     =   9,975
Absorbed variable: llkk_year                       No. of categories =     369
                                                   F(10, 189)        =    1.16
                                                   Prob > F          =  0.3181
                                                   R-squared         =  0.0108
                                                   Adj R-squared     = -0.0281
                                                   Root MSE          =  0.1309

                                 (Std. err. adjusted for 190 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1307714   .0744653    -1.76   0.081    -.2776613    .0161185
             |
   majvs_10q |
          2  |   .0032895    .011002     0.30   0.765    -.0184129     .024992
          3  |   .0177154   .0115505     1.53   0.127    -.0050691    .0404999
          4  |   .0130503   .0111657     1.17   0.244     -.008975    .0350757
          5  |   .0208894   .0111726     1.87   0.063    -.0011495    .0429284
          6  |   .0164417   .0154492     1.06   0.289    -.0140334    .0469167
          7  |   .0109613   .0117051     0.94   0.350    -.0121281    .0340508
          8  |   .0224277   .0153367     1.46   0.145    -.0078254    .0526808
          9  |   .0129338   .0134178     0.96   0.336    -.0135342    .0394017
         10  |   .0168029   .0101632     1.65   0.100     -.003245    .0368507
             |
       _cons |  -.0127725   .0077336    -1.65   0.100    -.0280279    .0024828
------------------------------------------------------------------------------
(17,426 missing values generated)
file vc_close_area_single.gph saved
(sum of wgt is 257)

Linear regression                               Number of obs     =      7,193
                                                F(1, 142)         =       0.91
                                                Prob > F          =     0.3412
                                                R-squared         =     0.0032
                                                Root MSE          =     .13038

                                 (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0734765   .0769451    -0.95   0.341    -.2255824    .0786294
       _cons |   2.02e-19   5.44e-19     0.37   0.711    -8.74e-19    1.28e-18
------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 257)

Linear regression                               Number of obs     =      7,193
                                                F(2, 142)         =       2.33
                                                Prob > F          =     0.1011
                                                R-squared         =     0.0098
                                                Root MSE          =     .12995

                                   (Std. err. adjusted for 143 clusters in llkk)
--------------------------------------------------------------------------------
               |               Robust
diff_are~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
  diff_maj_min |  -.1362929   .0811638    -1.68   0.095    -.2967384    .0241526
diffvs_maj_min |    .324664   .1815464     1.79   0.076    -.0342189    .6835469
         _cons |   2.96e-19   5.90e-19     0.50   0.616    -8.71e-19    1.46e-18
--------------------------------------------------------------------------------
(17,426 missing values generated)

Linear regression, absorbing indicators            Number of obs     =   7,193
Absorbed variable: llkk_year                       No. of categories =     257
                                                   F(4, 142)         =    1.32
                                                   Prob > F          =  0.2650
                                                   R-squared         =  0.0070
                                                   Adj R-squared     = -0.0303
                                                   Root MSE          =  0.1325

                                 (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   -.107209   .0828649    -1.29   0.198    -.2710172    .0565992
             |
    majvs_4q |
          2  |     .01295   .0088925     1.46   0.148    -.0046287    .0305288
          3  |   .0177804   .0118111     1.51   0.134    -.0055678    .0411287
          4  |   .0232231   .0122263     1.90   0.060     -.000946    .0473921
             |
       _cons |  -.0127833   .0062178    -2.06   0.042    -.0250746    -.000492
------------------------------------------------------------------------------
(17,426 missing values generated)

Linear regression, absorbing indicators            Number of obs     =   7,193
Absorbed variable: llkk_year                       No. of categories =     257
                                                   F(10, 142)        =    1.75
                                                   Prob > F          =  0.0748
                                                   R-squared         =  0.0128
                                                   Adj R-squared     = -0.0251
                                                   Root MSE          =  0.1322

                                 (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1145052   .0820739    -1.40   0.165    -.2767498    .0477393
             |
   majvs_10q |
          2  |   .0031892   .0121431     0.26   0.793    -.0208155    .0271939
          3  |   .0261894    .014638     1.79   0.076    -.0027471    .0551259
          4  |   .0236585    .013788     1.72   0.088    -.0035978    .0509148
          5  |   .0291193   .0141424     2.06   0.041     .0011625    .0570761
          6  |   .0334757   .0201657     1.66   0.099    -.0063881    .0733394
          7  |   .0170676   .0124816     1.37   0.174    -.0076062    .0417415
          8  |     .04463   .0204565     2.18   0.031     .0041913    .0850686
          9  |   .0219701    .014116     1.56   0.122    -.0059346    .0498749
         10  |   .0351972   .0119748     2.94   0.004     .0115253    .0588692
             |
       _cons |  -.0220177   .0093785    -2.35   0.020    -.0405572   -.0034783
------------------------------------------------------------------------------
(17,426 missing values generated)
file vc_cl_bl_area_single.gph saved

. 
. grc1leg vc_all_area_multi.gph vc_close_area_multi.gph vc_cl_bl_area_multi.gph   , ///
>            ysize(5) xsize(20) col(3) iscale(1.25) scheme(s1mono) xcommon ///
>            b1("Estimated effect of residential concentration of majority vs. opposition politicians", size(vhuge)) ring(2) 

.            graph display, xsize(20) ysize(5) 

. graph export "$res\fig4.$e", replace
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\fig4.eps saved as EPS format

. 
.   
. 
. log close                                
      name:  <unnamed>
       log:  \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\log\analysis.log
  log type:  text
 closed on:   2 Oct 2023, 17:12:48
-------------------------------------------------------------------------------------------------------------------------------------
